Bio

Bio


Manning works on systems that can intelligently process and produce human languages. Particular research interests include probabilistic models of language, statistical natural language processing, information extraction, text mining, robust textual infererence, statistical parsing, grammar induction, constraint-based theories of grammar, and computational lexicography.

Academic Appointments


Professional Education


  • PhD, Stanford University (1994)

Teaching

2013-14 Courses


Publications

Journal Articles


  • Parsing Models for Identifying Multiword Expressions COMPUTATIONAL LINGUISTICS Green, S., de Marneffe, M., Manning, C. D. 2013; 39 (1): 195-227
  • The Efficacy of Human Post-editing for Language Translation In CHI. Green, S., Heer, J., Manning, Christopher, D. 2013
  • Differentiating Language Usage through Topic Models Poetics Daniel A. McFarland, Daniel Ramage, Jason Chuang, Jeffrey Heer, and Christopher D. Manning McFarland, Daniel, A., Ramage, D., Chuang, J., Heer, J., Manning, Christopher, D. 2013
  • Fast and Adaptive Online Training of Feature-Rich Translation Models In ACL. Green, S., Wang, S., Cer, D., Manning, Christopher, D. 2013
  • Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning. Transactions of the Association for Computational Linguistics Luong, M., Frank, Michael, C., Johnson, M. 2013; 3 (1): 315-323
  • Zero Shot Learning Through Cross-Modal Transfer. In Advances in Neural Information Processing Systems Socher, R., Ganjoo, M., Manning, Christopher, D., Ng, Andrew, Y. 2013; 26
  • Reasoning With Neural Tensor Networks For Knowledge Base Completion. In Advances in Neural Information Processing Systems Socher, R., Chen, D., Manning, Christopher, D., Ng, Andrew, Y. 2013; 26
  • Crowdsourcing and the Crisis-affected Population Information Retrieval Munro, R. 2013; 2 (16): 210-266
  • "Without the Clutter of Unimportant Words": Descriptive Keyphrases for Text Visualization ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION Chuang, J., Manning, C. D., Heer, J. 2012; 19 (3)
  • Combining joint models for biomedical event extraction BMC BIOINFORMATICS McClosky, D., Riedel, S., Surdeanu, M., McCallum, A., Manning, C. D. 2012; 13

    Abstract

    We explore techniques for performing model combination between the UMass and Stanford biomedical event extraction systems. Both sub-components address event extraction as a structured prediction problem, and use dual decomposition (UMass) and parsing algorithms (Stanford) to find the best scoring event structure. Our primary focus is on stacking where the predictions from the Stanford system are used as features in the UMass system. For comparison, we look at simpler model combination techniques such as intersection and union which require only the outputs from each system and combine them directly.First, we find that stacking substantially improves performance while intersection and union provide no significant benefits. Second, we investigate the graph properties of event structures and their impact on the combination of our systems. Finally, we trace the origins of events proposed by the stacked model to determine the role each system plays in different components of the output. We learn that, while stacking can propose novel event structures not seen in either base model, these events have extremely low precision. Removing these novel events improves our already state-of-the-art F1 to 56.6% on the test set of Genia (Task 1). Overall, the combined system formed via stacking ("FAUST") performed well in the BioNLP 2011 shared task. The FAUST system obtained 1st place in three out of four tasks: 1st place in Genia Task 1 (56.0% F1) and Task 2 (53.9%), 2nd place in the Epigenetics and Post-translational Modifications track (35.0%), and 1st place in the Infectious Diseases track (55.6%).We present a state-of-the-art event extraction system that relies on the strengths of structured prediction and model combination through stacking. Akin to results on other tasks, stacking outperforms intersection and union and leads to very strong results. The utility of model combination hinges on complementary views of the data, and we show that our sub-systems capture different graph properties of event structures. Finally, by removing low precision novel events, we show that performance from stacking can be further improved.

    View details for DOI 10.1186/1471-2105-13-S11-S9

    View details for Web of Science ID 000306140800009

    View details for PubMedID 22759463

  • Did It Happen? The Pragmatic Complexity of Veridicality Assessment COMPUTATIONAL LINGUISTICS de Marneffe, M., Manning, C. D., Potts, C. 2012; 38 (2): 301-333
  • Convolutional-Recursive Deep Learning for 3D Object Classification. In Advances in Neural Information Processing Systems Socher, R., Huval, B., Bhat, B., Manning, Christopher, D., Ng, Andrew, Y. 2012; 25
  • Citation-based bootstrapping for large-scale author disambiguation Journal of the American Society for Information Science and Technology Levin, M., Krawczyk, S., Bethard, S., Jurafsky, D. 2012; 5 (63): 301-333
  • Coreference resolution: an empirical study based on SemEval-2010 shared Task 1 Language Resources and Evaluation. Màrquez, L., Recasens, M., Sapena, E. 2012
  • Learning Attitudes and Attributes from Multi-Aspect Reviews In International Conference on Data Mining. McAuley, Julian, J., Leskovec, J., Jurafsky, D. 2012
  • Without the clutter of unimportant words ACM Transactions on Computer-Human Interaction (TOCHI) Chuang, J., Manning, Christopher, D., Heer, J. 2012; 3 (19)
  • SUTIME: A Library for Recognizing and Normalizing Time Expressions. In Eighth International Conference on Language Resources and Evaluation (LREC 2012) Chang, Angel, X., Manning, Christopher, D. 2012
  • Veridicality and utterance understanding CA: IEEE Computer Society Press Marneffe, M. d., Manning, Christopher, D., Potts, C. 2011
  • Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French In EMNLP. Green, S., Marneffe, M. d., Bauer, J., Manning, Christopher, D. 2011
  • Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection Advances in Neural Information Processing Systems Socher, R., Huang, Eric, H., Pennington, J., Ng, Andrew, Y., Manning, Christopher, D. 2011
  • Using Evolutive Summary Counters for Efficient Cooperative Caching in Search Engines IEEE Transactions on Parallel and Distributed Systems 99(PrePrints) Dominguez-Sal, D., Aguilar-Saborit, J., Surdeanu, M., Larriba-Pey, J. L. 2011
  • Learning to Rank Answers to Non-Factoid Questions from Web Collections Computational Linguistics Surdeanu, M., Ciaramita, M., Zaragoza, H. 2011; 2 (37)
  • Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection In Advances in Neural Information Processing Systems Socher, R., Huang, Eric, H., Pennington, J., Ng, Andrew, Y. 2011; 24
  • TopicFlow model: Unsupervised learning of topic specific influences of hyperlinked documents Artificial Intelligence and Statistics Nallapati, R., McFarland, D., Manning, C. 2011
  • Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates SPEECH COMMUNICATION Goldwater, S., Jurafsky, D., Manning, C. D. 2010; 52 (3): 181-200
  • The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue. Language Resources \& Evaluation 44: Calhoun, S., Carletta, J., Brenier, Jason, M., Mayo, N., Jurafsky, D., Steedman, M. 2010: 387-419
  • Measuring Machine Translation Quality as Semantic Equivalence: A Metric Based on Entailment Features Machine Translation Padó, S., Cer, D., Galley, M., Jurafsky, D., Manning, Christopher, D. 2010; 23: 181-193
  • Predictability Effects on Durations of Content and Function Words in Conversational English. Journal of Memory and Language Bell, A., Brenier, J., Gregory, M. 2009; 1 (60): 92-111
  • Stanford University's Arabic-to-English Statistical Machine Translation System for the 2009 NIST Evaluation The 2009 NIST Open Machine Translation Evaluation Workshop Galley, M., Green, S., Cer, D., Chang, P., Manning, Christopher, D. 2009
  • Constructing Integrated Corpus and Lexicon Models for Multi-Layer Annotation in OWL DL Linguistic Issues in Language Technologies Burchardt, A., Padó, S., Spohr, D., Frank, A., Heid, U. 2008; 1: 1-33
  • Comparing and Combining Semantic Verb Classifications. Journal of Language Resources and Evaluation Čulo, O., Erk, K., Padó, S., im Walde, S. S. 2008; 3 (42)
  • ntroduction to Information Retrieval. Cambridge: Cambridge University Press. Manning, Christopher, D., Raghavan, P., Schütze, H. 2008
  • Local Textual Inference: It's hard to circumscribe, but you know it when you see it - and NLP needs it MS, Stanford University Manning, Christopher, D. 2006
  • Programming for linguists: Java (TM) technology for language researchers. LANGUAGE Manning, C. 2005; 81 (3): 740-742
  • Exploring the boundaries: gene and protein identification in biomedical text BMC BIOINFORMATICS Finkel, J., Dingare, S., Manning, C. D., Nissim, M., Alex, B., Grover, C. 2005; 6

    Abstract

    Good automatic information extraction tools offer hope for automatic processing of the exploding biomedical literature, and successful named entity recognition is a key component for such tools.We present a maximum-entropy based system incorporating a diverse set of features for identifying gene and protein names in biomedical abstracts.This system was entered in the BioCreative comparative evaluation and achieved a precision of 0.83 and recall of 0.84 in the "open" evaluation and a precision of 0.78 and recall of 0.85 in the "closed" evaluation.Central contributions are rich use of features derived from the training data at multiple levels of granularity, a focus on correctly identifying entity boundaries, and the innovative use of several external knowledge sources including full MEDLINE abstracts and web searches.

    View details for DOI 10.1186/1471-2105-6-S1-S5

    View details for Web of Science ID 000236061400005

    View details for PubMedID 15960839

  • Stochastic HPSG Parse Disambiguation using the Redwoods Corpus. Research in Language and Computation Toutanova, K., Manning, Christopher, D., Flickinger, D., Oepen, S. 2005
  • LinGO Redwoods: A Rich and Dynamic Treebank for HPSG Research in Language and Computation Oepen, S., Flickinger, D., Toutanova, K., Manning, Christopher, D. 2005
  • Robust Textual Inference via Graph Matching HLT-EMNLP Haghighi, A., Ng, Andrew, Y., Manning, Christopher, D. 2005: 387-394
  • Position of the American Dietetic Association and Dietitians of Canada: Nutrition and women's health JOURNAL OF THE AMERICAN DIETETIC ASSOCIATION Affenito, S. G., Lambert-Lagace, L., Kerstetter, J. E., Demark-Wahnefried, W., Dausch, J. G., Denny, S., Redditt, D. L., Athas, B. M., Hutchins, A. M., Krummel, D., Mozian, L. D., Schryver, T., Agurs-Collins, T., Hord, N. G., Jarka, E., Martin, J. B., Kris-Etherton, M., Peterson, J. M., Reeser, C., Gutierrez, Y. M., Luke, B., Borody, W., Bowlby, M., Carlson, A., Gill, G., Paquette, M. C., Sutherland, R. A., Van Patten, C. L., Manning, C., Bloch, A., Demark-Wahnefried, W. 2004; 104 (6): 984-1001

    Abstract

    It is the position of the American Dietetic Association (ADA) and Dietitians of Canada (DC) that women have specific nutritional needs and vulnerabilities and, as such, are at unique risk for various nutrition-related diseases and conditions. Therefore, the ADA and the DC strongly support research, health promotion activities, health services, and advocacy efforts that will enable women to adopt desirable nutrition practices for optimal health. Women are at risk for numerous chronic diseases and conditions that affect the duration and quality of their lives. Although women's health-related issues are multifaceted, nutrition has been shown to influence significantly the risk of chronic disease and to assist in maintaining optimal health status. Dietetics professionals strongly support research, health promotion activities, health services, and advocacy efforts that will enable women to adopt desirable nutrition practices for optimal health.

    View details for DOI 10.1016/j.jada.2004.04.010

    View details for Web of Science ID 000221804800022

    View details for PubMedID 15175601

  • How useful and usable are dictionaries for speakers of Australian indigenous languages? INTERNATIONAL JOURNAL OF LEXICOGRAPHY Corris, M., Manning, C., Poetsch, S., Simpson, J. 2004; 17 (1): 33-68
  • Exploiting the Block Structure of theWeb for Computing PageRank tanford University Technical Report dbpubs/2003-17 Kamvar, Sepandar, D., Haveliwala, Taher, H., Manning, Christopher, D., Golub, Gene, H. 2003
  • Adaptive Methods for the Computation of PageRank In Linear Algebra and its Applications, Special Issue on the Numerical Solution of Markov Chains Kamvar, Sepandar, D., Haveliwala, Taher, H., Golub, Gene, H. 2003
  • The Second Eigenvalue of the Google Matrix Stanford University Technical Report, March Haveliwala, Taher, H., Kamvar, Sepandar, D. 2003
  • An Analytical Comparison of Approaches to Personalizing PageRank Stanford University Technical Report, June Haveliwala, Taher, H., Kamvar, Sepandar, D., Jeh, G. 2003
  • Parse Selection on the Redwoods Corpus: 3rd Growth Results. Technical report dbpubs 2003-64, Stanford University. Toutanova, K., Manning, Christopher, D., Oepen, S., Flickinger, D. 2003
  • Computing PageRank using Power Extrapolation Stanford University Technical Report dbpubs/2003-45 Haveliwala, T., Kamvar, S., Klein, D., Manning, C., Golub, G. 2003
  • Exploiting the Block Structure of the Web for Computing PageRank Stanford University Technical Report, June Kamvar, Sepandar, D., Haveliwala, Taher, H., Manning, Christopher, D., Golub, Gene, H. 2003
  • The Condition Number of the PageRank Problem Stanford University Technical Report, June Kamvar, Sepandar, D., Haveliwala, Taher, H. 2003
  • Beyond grammar: An experiences theory of language JOURNAL OF LINGUISTICS Manning, C. D. 2002; 38 (2): 441-442
  • Review of Rens Bod, Beyond Grammar: An Experience-based Theory of Language. Journal of Linguistics Manning, C. 2002; 2 (38): 441-442
  • Inducing Novel Gene-Drug Interactions from the Biomedical Literature Stanford University Technical Report, December Kamvar, Sepandar, D., Oliver, Diane, E., Manning, Christopher, D., Altman, Russ, B. 2002
  • A* Parsing: Fast Exact Viterbi Parse Selection. Stanford University Technical Report dbpubs/2002-16 Klein, D., Manning, Christopher, D. 2002
  • Review of Rens Bod, Beyond Grammar: An Experience-based Theory of Language Journal of Linguistics Manning, C. 2002; 2 (38): 441-442
  • Kirrkirr: Software for browsing and visual exploration of a structured Warlpiri dictionary Literary and Linguistic Computing Manning, Christopher, D., Jansz, K., Indurkhya, N. 2001; 2 (16): 135-151
  • An O(n3) Agenda-Based Chart Parser for Arbitrary Probabilistic Context-Free Grammars Stanford Technical Report dbpubs/2001-16 Klein, D., Manning, Christopher, D. 2001
  • Kirrkirr: Software for browsing and visual exploration of a structured Warlpiri dictionary. Literary and Linguistic Computing, Manning, Christopher, D., Jansz, K., Indurkhya, N. 2001; 2 (16): 123-139
  • Kirrkirr: Software for browsing and visual exploration of a structured Warlpiri dictionary Paper presented at ALLC/ACH 2000. Revised version appears in Literary and Linguistic Computing Manning, Christopher, D., Jansz, K., Indurkhya, N. 2000; 1 (16): 123-139
  • Complex Predicates and Information Spreading in LFG Stanford, CA: CSLI Publications Andrews, Avery, D., Manning, Christopher, D. 1999
  • Rethinking text segmentation models: An information extraction case study. Technical report SULTRY-98-07-01, University of Sydney Manning, C. 1998
  • Argument Structure, Valence, and Binding. Nordic Journal of Linguistics Manning, Christopher, D., Sag, Ivan, A. 1998; 2 (21): 107-144
  • Petrology and geochemistry of the Kruuse Fjord Gabbro Complex, east Greenland GEOLOGICAL MAGAZINE Arnason, J. G., Bird, D. K., Bernstein, S., ROSE, N. M., Manning, C. E. 1997; 134 (1): 67-89
  • Review of David Pesetsky Zero Syntax: Experiencers and Cascades. Language 73: Manning, Christopher, D. 1997: 608-611
  • Ergativity: Argument Structure and Grammatical Relations, PhD Thesis, Stanford The revised version has been published by CSLI Publications (see 1996), and this version is not available on the web. Manning, Christopher, D. 1994
  • MISSING MINERAL ZONES IN CONTACT METAMORPHOSED BASALTS AMERICAN JOURNAL OF SCIENCE Manning, C. E., Ingebritsen, S. E., Bird, D. K. 1993; 293 (9): 894-938
  • Information Spreading and Levels of Representation in LFG CSLI Technical Report CSLI-93-176, Stanford University, Stanford CA. Andrews, A., D., Manning, Christopher, D. 1993
  • Romance is so complex Technical Report CSLI-92-168, Stanford University, Stanford CA. Manning, Christopher, D. 1992
  • Presents embedded under pasts ms., Stanford University Manning, Christopher, D. 1992
  • POROSITY EVOLUTION AND FLUID-FLOW IN THE BASALTS OF THE SKAERGAARD MAGMA-HYDROTHERMAL SYSTEM, EAST GREENLAND AMERICAN JOURNAL OF SCIENCE Manning, C. E., Bird, D. K. 1991; 291 (3): 201-257
  • LFG within King's descriptive formalism ms. Stanford University, Stanford CA. Manning, Christopher, D. 1991
  • Lexical Conceptual Structure and Marathi ms. Stanford University, Stanford CA Manning, Christopher, D. 1991
  • FLUORIAN GARNETS FROM THE HOST ROCKS OF THE SKAERGAARD INTRUSION - IMPLICATIONS FOR METAMORPHIC FLUID COMPOSITION AMERICAN MINERALOGIST Manning, C. E., Bird, D. K. 1990; 75 (7-8): 859-873
  • HYDROTHERMAL ALTERATION OF TERTIARY LAYERED GABBROS, EAST GREENLAND AMERICAN JOURNAL OF SCIENCE Bird, D. K., Manning, C. E., ROSE, N. M. 1988; 288 (5): 405-457
  • HYDROTHERMAL CLINOPYROXENES OF THE SKAERGAARD INTRUSION CONTRIBUTIONS TO MINERALOGY AND PETROLOGY Manning, C. E., Bird, D. K. 1986; 92 (4): 437-447

Books and Book Chapters


  • Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics. Manning, Christopher, D., Jurafsky, D., Martin, James, H. Prentice-Hall. 2008
  • Ergativity Encyclopedia of Language & Linguistics, Second Edition Manning, Christopher, D. edited by Keith Brown, Ergativity., In Oxford: Elsevier. 2006: 210-217
  • Log-Linear Models for Label Ranking Advances in Neural Information Processing Systems 16 (NIPS 2003). Dekel, O., Manning, Christopher, D., Singer, Y. edited by Thrun, S., Saul, Lawrence, K., Schölkopf, B. Cambridge, MA: MIT Press. 2004: 497-504
  • Corpus-Based Induction of Syntactic Structure: Models of Constituency and Dependency Language Learning: An Interdisciplinary Perspective. Klein, D., Manning, Christopher, D. edited by Cohen, P., Clark, A., Hovy, E. AAAI Spring Symposium. 2004: 32-38
  • Exploring Sentiment Summarization Exploring Attitude and Affect in Text: Theories and Applications Beineke, P., Hastie, T., Manning, C., Vaithyanathan, S. edited by Qu, I. Y., Shanahan, J., Wiebe, J. AAAI Spring Symposium Technical Report SS-04-07. 2004: 12-15
  • Parsing and Hypergraphs. New Developments in Parsing Technology. Klein, D., Manning, Christopher, D. edited by Bunt, H., Carroll, J., Satta, G. Dordrecht: Kluwer Academic Publishers. 2004: 351-372
  • Log-Linear Models for Label Ranking Advances in Neural Information Processing Systems 16 (NIPS 2003) Dekel, O., Manning, Christopher, D., Singer, Y. edited by Thrun, S., Saul, Lawrence, K., Schölkopf, B. Cambridge. 2004: 497-504
  • Fast Exact Inference with a Factored Model for Natural Language Parsing Advances in Neural Information Processing Systems 15 (NIPS 2002) Klein, D., Manning, Christopher, D. edited by Becker, S., Thrun, S., Obermayer, K. Cambridge, MA: MIT Press. 2003: 3-10
  • Statistical approaches to natural language processing Encyclopedia of Cognitive Science. Manning, Christopher, D. edited by Nadel, L. London: Nature Publishing Group. 2003: 1
  • Natural Language Grammar Induction using a Constituent-Context Model. Advances in Neural Information Processing Systems 14 (NIPS 2001) Klein, D., Manning, Christopher, D. edited by Dietterich, Thomas, G., Becker, S., Ghahramani, Z. Cambridge, MA: MIT Press. 2002: 35-42
  • Dictionaries and Endangered Languages Language Endangerment and Language Maintenance. Corris, M., Manning, C., Poetsch, S. edited by Bradley, D., Bradley, M. London: RoutledgeCurzon. 2002: 329-347
  • Probabilistic Parsing Using Left Corner Language Models Advances in Probabilistic and Other Parsing Technologies Manning, Christopher, D., Carpenter, B. edited by Bunt, H., Nijholt, A. Kluwer Academic Publishers. 2000: 105-124
  • Probabilistic Parsing Using Left Corner Language Models. Advances in Probabilistic and Other Parsing Technologies. Manning, Christopher, D., Carpenter, B. Kluwer Academic Publishers. 2000: 105-124
  • Cognition and Function in Language. Manning, Christopher, D. edited by Fox, Barbara, A., Jurafsky, D., Michaelis, Laura, A. Stanford, CA: CSLI Publications.. 1999
  • Dissociations between Argument Structure and Grammatical Relations Lexical And Constructional Aspects of Linguistic Explanation Manning, Christopher, D., Sag, Ivan, A. edited by Webelhuth, G., Koenig, J. P., Kathol, A. CSLI Publications. 1999: 63-78
  • Dictionaries and endangered languages Corris, M., Manning, C., Poetsch, S., Simpson, J. Paper presented at the Endangered Languages Workshop, La Trobe University, [ps, rtf; published version above, under 2002; earlier version presented at the 1999 Perth Congress of the Applied Linguistics Association of Australia]. 1999
  • The Lexical Integrity of Japanese Causatives Studies in Contemporary Phrase Structure Grammar Manning, Christopher, D., Sag, Ivan, A., Iida, M. edited by Levine, Robert, D., Green, Georgia, M. Cambridge: Cambridge University Press. 1999: 39-79
  • The Lexical Integrity of Japanese Causatives. Studies in Contemporary Phrase Structure Grammar Manning, Christopher, D., Sag, Ivan, A., Iida, M. edited by Levine, Robert, D., Green, Georgia, M. Cambridge: Cambridge University Press. 1999: 39-79
  • Dissociations between Argument Structure and Grammatical Relations. Lexical And Constructional Aspects of Linguistic Explanation Manning, Christopher, D., Sag, Ivan, A. CSLI Publications. 1999: 63-78
  • Grammatical Relations versus Binding: On the Distinctness of Argument Structure. Empirical Issues in Formal Syntax and Semantics Manning, Christopher, D. edited by Corblin, F., Godard, D., Marandin, J., M. Bern: Peter Lang ISBN 3-906757-73-0. 1997: 1
  • Ergativity: Argument Structure and Grammatical Relations Manning, Christopher, D. Stanford, CA: CSLI Publications/Cambridge University Press Dissertations in Linguistics series. ISBN: 1575860368 (pbk), 1575860376 (hbk).. 1996
  • Analyzing the verbal noun: Internal and external constraints Japanese/Korean Linguistics 3, Stanford Manning, Christopher, D. edited by Choi, S. CA: Stanford Linguistics Association. 1993: 236-253

Conference Proceedings


  • Learning a Product of Experts with Elitist Lasso. Wang, M., Manning, Christopher, D. 2013
  • Bilingual Word Embeddings for Phrase-Based Machine Translation Zou, Will, Y., Socher, R., Cer, D., Manning, Christopher, D. 2013
  • Effect of Nonlinear Deep Architecture in Sequence Labeling. Wang, M., Manning, Christopher, D. 2013
  • Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Socher, R., Perelygin, A., Wu, J., Chuang, J., Manning, C., Ng, A. 2013
  • Zero-Shot Learning Through Cross-Modal Transfer Socher, R., Ganjoo, M., Sridhar, H., Bastani, O., Manning, C., D., Ng, A., Y. 2013
  • Named Entity Recognition with Bilingual Constraints. Che, W., Wang, M., Manning, Christopher, D., Liu, T. 2013
  • Effective Bilingual Constraints for Semi-supervised Learning of Named Entity Recognizers. Wang, M., Che, W., Manning, Christopher, D. 2013
  • Parsing With Compositional Vector Grammars Socher, R., Bauer, J., Manning, Christopher, D., Ng, Andrew, Y. 2013
  • Emergence of Gricean Maxims from Multi-Agent Decision Theory. Vogel, A., Bodoia, M., Potts, C., Jurafsky, D. 2013
  • Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition. Wang, M., Che, W., Manning, Christopher, D. 2013
  • Language-Independent Discriminative Parsing of Temporal Expressions Angeli, G., Uszkoreit, J. 2013
  • Philosophers are Mortal: Inferring the Truth of Unseen Facts. Angeli, G., Manning, C. 2013
  • Same Referent, Different Words: Unsupervised Mining of Opaque Coreferent Mentions. Recasens, M., Can, M., Jurafsky, D. 2013
  • Tradition and Modernity in 20th Century Chinese Poetry. Voigt, R., Jurafsky, D. 2013
  • Generating Recommendation Dialogs by Extracting Information from User Reviews. Reschke, K., Vogel, A., Jurafsky, D. 2013
  • Linguistic Models for Analyzing and Detecting Biased Language. Recasens, M., Danescu-Niculescu-Mizil, C., Jurafsky, D. 2013
  • A computational approach to politeness with application to social factors Danescu-Niculescu-Mizil, C., Sudhof, M., Jurafsky, D., Leskovec, J., Potts, C. 2013
  • Effect of Non-linear Deep Architecture in Sequence Labeling. Wang, M., Manning, Christopher, D. 2013
  • Semantic Parsing on Freebase from Question-Answer Pairs. Berant, J., Chou, A., Frostig, R., Liang, P. 2013
  • Learning Biological Processes with Global Constraints. Scaria, A. T., Berant, J., Wang, M., Clark, P., Lewis, J., Harding, B., Manning, Christopher, D. 2013
  • The Life and Death of Discourse Entities: Identifying Singleton Mentions Recasens, M., Marneffe, M. d., Potts, C. 2013
  • Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs. Vogel, A., Potts, C., Jurafsky, D. 2013
  • Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors Chen, D., Socher, R., Manning, Christopher, D., Ng, Andrew, Y. 2013
  • Better Word Representations with Recursive Neural Networks for Morphology. Luong, M., Socher, R., Manning, Christopher, D. 2013
  • No country for old members: User lifecycle and linguistic change in online communities. Danescu-Niculescu-Mizil, C., West, R., Jurafsky, D., Leskovec, J., Potts, C. 2013
  • Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction. Spitkovsky, Valentin, I., Alshawi, H., Jurafsky, D. 2013
  • Towards a Literary Machine Translation: The Role of Referential Cohesion Voigt, R., Jurafsky, D. 2012
  • Multi-instance Multi-label Learning for Relation Extraction Surdeanu, M., Tibshirani, J., Nallapati, R., Manning, Christopher, D. 2012
  • Learning Constraints for Consistent Timeline Extraction. McClosky, D., Manning, Christopher, D. 2012
  • SPEDE: Probabilistic Edit Distance Metrics for MT Evaluation. Wang, M., Manning, Christopher, D. 2012
  • A Comparison of Chinese Parsers for Stanford Dependencies Che, W., Spitkovsky, Valentin, I., Liu, T. 2012
  • Stanford’s System for Parsing the English Web McClosky, D., Che, W., Recasens, M., Wang, M., Socher, R., Manning, Christopher, D. 2012
  • Improving Word Representations via Global Context and Multiple Word Prototypes. Huang, Eric, H., Socher, R., Manning, Christopher, D., Ng, Andrew, Y. 2012
  • Semantic Compositionality Through Recursive Matrix-Vector Spaces Socher, R., Huval, B., Manning, Christopher, D., Ng, Andrew, Y. 2012
  • Towards a Computational History of the ACL: 1980-2008. Anderson, A., McFarland, D., Jurafsky, D. 2012
  • Joint Entity and Event Coreference Resolution across Documents. Lee, H., Recasens, M., Chang, A., Surdeanu, M., Jurafsky, D. 2012
  • Entity Clustering Across Languages Green, S., Andrews, N., Gormley, Matthew, R., Dredze, M., Manning, Christopher, D. 2012
  • A Cross-Lingual Dictionary for English Wikipedia Concepts Spitkovsky, Valentin, I., Chang, Angel, X. 2012
  • Annotating Near-Identity from Coreference Disagreements. Recasens, M., Martí, M., Antònia, Orasan, C. 2012
  • Baselines and Bigrams: Simple, Good Sentiment and Topic Classification. Wang, S., Manning, C. 2012
  • Probabilistic Finite State Machines for Regression-based MT Evaluation. Wang, M., Manning, Christopher, D. 2012
  • Three Dependency-and-Boundary Models for Grammar Induction Spitkovsky, Valentin, I., Alshawi, H., Jurafsky, D. 2012
  • Automatic animacy classification Bowman, S., Chopra, H. 2012
  • Capitalization Cues Improve Dependency Grammar Induction. Spitkovsky, Valentin, I., Alshawi, H., Jurafsky, D. 2012
  • Stanford: Probabilistic Edit Distance Metrics for STS. Wang, M., Cer, D. 2012
  • A Computational Analysis of Style, Affect, and Imagery in Contemporary Poetry. Kao, J., Jurafsky, D. 2012
  • Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models Spitkovsky, Valentin, I., Alshawi, H., Jurafsky, D. 2012
  • Parsing Time: Learning to Interpret Time Expressions Angeli, G., Manning, Christopher, D., Jurafsky, D. 2012
  • He Said, She Said: Gender in the ACL Anthology Vogel, A., Jurafsky, a. D. 2012
  • Punctuation: Making a Point in Unsupervised Dependency Parsing Spitkovsky, Valentin, I., Alshawi, H., Jurafsky, D. 2011
  • Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction. Spitkovsky, Valentin, I., Alshawi, H., Jurafsky, D. 2011
  • Stanford's Distantly-Supervised Slot-Filling System. Surdeanu, M., Gupta, S., Bauer, J., McClosky, D., Chang, Angel, X., Spitkovsky, Valentin, I., Manning, Christopher, D. 2011
  • Parsing Natural Scenes and Natural Language with Recursive Neural Networks. Socher, R., Lin, C. C., Ng, Andrew, Y., Manning, Christopher, D. 2011
  • Analyzing the Dynamics of Research by Extracting Key Aspects of Scientific Papers. Gupta, S., Manning, Christopher, D. 2011
  • Model Combination for Event Extraction in BioNLP 2011 Riedel, S., McClosky, D., Surdeanu, M., McCallum, A., Manning, Christopher, D. 2011
  • Stanford-UBC Entity Linking at TAC-KBP, Again Chang, Angel, X., Spitkovsky, Valentin, I., Agirre, E., Manning, Christopher, D. 2011
  • Event Extraction as Dependency Parsing McClosky, D., Surdeanu, M., Manning, C. 2011
  • Subword and spatiotemporal models for identifying actionable information in Haitian Kreyol. Munro, R. 2011
  • Unsupervised Dependency Parsing without Gold Part-of-Speech Tags. Spitkovsky, Valentin, I., Alshawi, H., Chang, Angel, X., Jurafsky, D. 2011
  • Strong Baselines for Cross-Lingual Entity Linking. Spitkovsky, Valentin, I., Chang, Angel, X. 2011
  • LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets Nallapati, R., Shi, X., McFarland, D., Leskovec, J., Jurafsky, D. 2011
  • Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities Socher, R., Maas, A., Manning, Christopher, D. 2011
  • Event Extraction as Dependency Parsing for BioNLP 2011 McClosky, D., Surdeanu, M., Manning, Christopher, D. 2011
  • Customizing an Information Extraction System to a New Domain Surdeanu, M., McClosky, D., Smith, Mason, R., Gusev, A., Manning, Christopher, D. 2011
  • A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model Johri, N., Ramage, D., McFarland, Daniel, A., Jurafsky, D. 2011
  • Template-Based Information Extraction without the Templates. Chambers, N., Jurafsky, D. 2011
  • Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task Lee, H., Peirsman, Y., Chang, A., Chambers, N., Surdeanu, M., Jurafsky, D. 2011
  • Parsing Natural Scenes and Natural Language with Recursive Neural Networks Socher, R., Lin, C., Ng, Andrew, Y., Manning, Christopher, D. 2011
  • Risk Analysis for Intellectual Property Litigation Surdeanu, M., Nallapati, R., Manning, Christopher, D. 2011
  • Veridicality and utterance understanding. Marneffe, M. d., Manning, Christopher, D., Potts, C. 2011
  • The Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice Guo, S., Wang, M., Leskovec, J. 2011
  • Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions Socher, R., Pennington, J., Huang, Eric, H., Ng, Andrew, Y., Manning, Christopher, D. 2011
  • Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities Socher, R., Maas, A., Manning, Christopher, D. 2011
  • Risk Analysis for Intellectual Property Litigation Surdeanu, M., Nallapati, R., Manning, C. 2011
  • Assessing the relationship between excess argon content and recrystallization of ultrahigh-pressure metamorphic rocks Menold, C. A., Grove, M., Manning, C. E. PERGAMON-ELSEVIER SCIENCE LTD. 2010: A698-A698
  • Characterizing Microblogs with Topic Models Ramage, D., Dumais, S., Liebling, D. 2010
  • Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks Socher, R., Manning, Christopher, D., Ng, Andrew, Y. 2010
  • Legal Claim Identification: Information Extraction with Hierarchically Labeled Data Surdeanu, M., Nallapati, R., Manning, Christopher, D. 2010
  • Learning to Follow Navigational Directions Vogel, A., Jurafsky, D. 2010
  • Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data Finkel, J. R., Manning, Christopher, D. 2010
  • Improved Models of Distortion Cost for Statistical Machine Translation Green, S., Galley, M., Manning, Christopher, D. 2010
  • Accurate Non-Hierarchical Phrase-Based Translation Galley, M., Manning, Christopher, D. 2010
  • Better Arabic Parsing: Baselines, Evaluations, and Analysis Green, S., Manning, Christopher, D. 2010
  • Who should I cite? Learning literature search models from citation behavior. Bethard, S., Jurafsky, D. 2010
  • Automatic Domain Adaptation for Parsing McClosky, D., Charniak, E., Johnson, M. 2010
  • How good are humans at solving CAPTCHAs? A large scale evaluation Bursztein, E., Bethard, S., Mitchell, John, C., Jurafsky, D., Fabry, C. 2010
  • Ensemble Models for Dependency Parsing: Cheap and Good? Surdeanu, M., Manning, Christopher, D. 2010
  • Stanford-UBC Entity Linking at TAC-KBP Chang, Angel, X., Spitkovsky, Valentin, I., Yeh, E., Agirre, E., Manning, Christopher, D. 2010
  • Parsing to Stanford Dependencies: Trade-offs between speed and accuracy Cer, D., Marneffe, M. d., Jurafsky, D., Manning, Christopher, D. 2010
  • A Database of Narrative Schemas Chambers, N., Jurafsky, D. 2010
  • mproving Semantic Role Classification with Selectional Preferences. Zapirain, B., Agirre, E., Màrquez, L., Surdeanu, M. 2010
  • Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing Spitkovsky, Valentin, I., Jurafsky, D., Alshawi, H. 2010
  • Was it good? It was provocative. Learning the meaning of scalar adjectives Marneffe, M. d., Manning, Christopher, D., Potts, C. 2010
  • Improving the Use of Pseudo-Words for Evaluating Selectional Preferences Chambers, N., Jurafsky, D. 2010
  • Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering Wang, M., Manning, Christopher, D. 2010
  • A Simple Distant Supervision Approach for the TAC-KBP Slot Filling Task Surdeanu, M., McClosky, D., Tibshirani, J., Bauer, J., Chang, Angel, X., Spitkovsky, Valentin, I., Manning, Christopher, D. 2010
  • Phrasal: a toolkit for statistical machine translation with facilities for extraction and incorporation of arbitrary model features Cer, D., Galley, M., Jurafsky, D., Manning, Christopher, D. 2010
  • Was it good? It was provocative,Learning the meaning of scalar adjectives Marneffe, M. d., Manning, Christopher, D., Potts, C. 2010
  • From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing Spitkovsky, Valentin, I., Alshawi, H., Jurafsky, D. 2010
  • The best lexical metric for phrase-based statistical MT system optimization Cer, D., Manning, Christopher, D., Jurafsky, D. 2010
  • Viterbi Training Improves Unsupervised Dependency Parsing Spitkovsky, Valentin, I., Alshawi, H., Jurafsky, D., Manning, Christopher, D. 2010
  • A Multi-Pass Sieve for Coreference Resolution Raghunathan, K., Lee, H., Rangarajan, S., Chambers, N., Surdeanu, M., Jurafsky, D., Manning, Christopher, D. 2010
  • Subword Variation in Text Message Classification Munro, R., Manning, Christopher, D. 2010
  • Crowdsourced translation for emergency response in Haiti: the global collaboration of local knowledge Munro, R. 2010
  • Phrasal: A Toolkit for Statistical Machine Translation with Facilities for Extraction and Incorporation of Arbitrary Model Features Cer, D., Galley, M., Jurafsky, D., Manning, Christopher, D. 2010
  • Joint Parsing and Named Entity Recognition Finkel, J. R., Manning, Christopher, D. 2009
  • Clustering the Tagged Web. Ramage, D., Heymann, P., Manning, Christopher, D., Garcia-Molina, H. 2009
  • Hidden Conditional Random Fields for Phone Recognition Sung, Y., Jurafsky, D. 2009
  • Robust Machine Translation Evaluation with Entailment Features Padó, S., Galley, M., Jurafsky, D., Manning, Christopher, D. 2009
  • Distant supervision for relation extraction without labeled data Mintz, M., Bills, S., Snow, R., Jurafsky, D. 2009
  • Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora Ramage, D., Hall, D., Nallapati, R., Manning, Christopher, D. 2009
  • NP subject detection in verb-initial Arabic clauses Green, S., Sathi, C., Manning, Christopher, D. 2009
  • Topic Modeling for the Social Sciences Ramage, D., Rosen, E., Chuang, J., Manning, Christopher, D., McFarland, Daniel, A. 2009
  • Disambiguating “DE” for Chinese-English Machine Translation Chang, P., Jurafsky, D., Manning, Christopher, D. 2009
  • Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation Jurafsky, D., Ranganath, R., McFarland, D. 2009
  • NP subject detection in verb-initial Arabic clauses Green, S., Sathi, C., Manning, Christopher, D. 2009
  • An extended model of natural logic MacCartney, B., Manning, Christopher, D. 2009
  • Textual Entailment Features for Machine Translation Evaluation Padó, S., Galley, M., Jurafsky, D., Manning, C. 2009
  • Discriminative Reordering with Chinese Grammatical Relations Features. Chang, P., Tseng, H., Jurafsky, D., Manning, Christopher, D. 2009
  • Quadratic-Time Dependency Parsing for Machine Translation Galley, M., Manning, Christopher, D. 2009
  • Multi-word expressions in textual inference: Much ado about nothing? Marneffe, M. d., Padó, S., Manning, Christopher, D. 2009
  • WikiWalk: Random walks on Wikipedia for Semantic Relatedness Yeh, E., Ramage, D., Manning, Christopher, D., Agirre, E., Soroa, A. 2009
  • Random Walks for Text Semantic Similarity Ramage, D., Rafferty, Anna, N., Manning, Christopher, D. 2009
  • Nested Named Entity Recognition Finkel, J. R., Manning, Christopher, D. 2009
  • Stanford-UBC at TAC-KBP Agirre, E., Chang, Angel, X., Jurafsky, Daniel, S., Manning, Christopher, D., Spitkovsky, Valentin, I., Yeh, E. 2009
  • Revisiting Graphemes with Increasing Amounts of Data Sung, Y., Hughes, T., Beaufays, F., Strope, B. 2009
  • Unsupervised Learning of Narrative Schemas and their Participants Chambers, N., Jurafsky, D. 2009
  • An extended model of natural logic MacCartney, B., Manning, Christopher, D. 2009
  • Clustering the Tagged Web Ramage, D., Heymann, P., Manning, Christopher, D., Garcia-Molina, H. 2009
  • Discriminative Reordering with Chinese Grammatical Relations Features Chang, P., Tseng, H., Jurafsky, D., Manning, Christopher, D. 2009
  • Baby Steps: How “Less is More” in Unsupervised Dependency Parsing Spitkovsky, Valentin, I., Alshawi, H., Jurafsky, D. 2009
  • Disambiguating DE for Chinese-English Machine Translation Chang, P., Jurafsky, D., Manning, Christopher, D. 2009
  • Hierarchical Bayesian Domain Adaptation. Finkel, J. R., Manning, Christopher, D. 2009
  • It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates Ranganath, R., Jurafsky, D., McFarland, D. 2009
  • Textual Entailment Features for Machine Translation Evaluation Padó, S., Galley, M., Jurafsky, D., Manning, Christopher, D. 2009
  • Robust Machine Translation Evaluation with Entailment Features Padó, S., Galley, M., Jurafsky, D., Manning, C. 2009
  • Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora Ramage, D., Hall, D., Nallapati, R., Manning, Christopher, D. 2009
  • Nested Named Entity Recognition Finkel, e. R., Manning, Christopher, D. 2009
  • The Stanford typed dependencies representation Marneffe, M. d., Manning, Christopher, D. 2008
  • Studying the History of Ideas Using Topic Models. Hall, David, L.W., Jurafsky, D., Manning, Christopher, D. 2008
  • Modeling semantic containment and exclusion in natural language inference MacCartney, B., Manning, Christopher, D. 2008
  • Optimizing Chinese Word Segmentation for Machine Translation Performance. Chang, P., Galley, M., Manning, C. 2008
  • Parsing Three German Treebanks: Lexicalized and Unlexicalized Baselines. Rafferty, A., Manning, Christopher, D. 2008
  • Deciding Entailment and Contradiction with Stochastic and Edit Distance-based Alignment Padó, S., Marneffe, M. d., MacCartney, B., Rafferty, Anna, N., Yeh, E., Manning, Christopher, D. 2008
  • Modeling semantic containment and exclusion in natural language inference MacCartney, B., Manning, Christopher, D. 2008
  • Legal Docket Classification: Where Machine Learning Stumbles Nallapati, R., Manning, Christopher, D. 2008
  • A phrase-based alignment model for natural language inference MacCartney, B., Galley, M., Manning, Christopher, D. 2008
  • Maximum Conditional Likelihood Linear Regression and Maximum a Posteriori for Hidden Conditional Random Fields Speaker Adaptation Sung, Y., Boulis, C., Jurafsky, D. 2008
  • Detecting prominence in conversational speech: pitch accent, givenness and focus Sridhar, V. K., Nenkova, A., Narayanan, S., Jurafsky, D. 2008
  • A Structured Vector Space Model for Word Meaning in Context Erk, K., Padó, S. 2008
  • Jointly Combining Implicit Constraints Improves Temporal Ordering Chambers, N., Jurafsky, D. 2008
  • Finding Contradictions in Text Goldwater, S., Jurafsky, D., Manning, Christopher, D. 2008
  • Which words are hard to recognize? Lexical, prosodic, and disfluency factors that increase ASR error rates Goldwater, S., Jurafsky, D., Manning, Christopher, D. 2008
  • Efficient, Feature-based, Conditional Random Field Parsing. Finkel, J. R., Kleeman, A., Manning, Christopher, D. 2008
  • Social Tag Prediction Heymann, P., Ramage, D., Garcia-Molina, H. 2008
  • Semantic Role Assignment for Event Nominalisations by Leveraging Verbal Data Padó, S., Pennacchiotti, M., Sporleder, C. 2008
  • The Stanford typed dependencies representation Marneffe, M. d., Manning, Christopher, D. 2008
  • Regularization and Search for Minimum Error Rate Training Cer, D., Jurafsky, D., Manning, Christopher, D. 2008
  • Finding Contradictions in Text Marneffe, M. d., Rafferty, Anna, N., Manning, Christopher, D. 2008
  • Studying the History of Ideas Using Topic Models Hall, D., Jurafsky, D., Manning, Christopher, D. 2008
  • A phrase-based alignment model for natural language inference MacCartney, B., Galley, M., Manning, Christopher, D. 2008
  • A Simple and Effective Hierarchical Phrase Reordering Model Galley, M., Manning, Christopher, D. 2008
  • Enforcing Transitivity in Coreference Resolution Finkel, J. R., Manning, Christopher, D. 2008
  • Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks Snow, R., O'Connor, B., Jurafsky, D., Ng, Andrew, Y. 2008
  • Unsupervised Learning of Narrative Event Chains Chambers, N., Jurafsky, D. 2008
  • A Simple and Effective Hierarchical Phrase Reordering Model Galley, M., Manning, Christopher, D. 2008
  • Optimizing Chinese Word Segmentation for Machine Translation Performance Chang, P., Galley, M., Manning, Christopher, D. 2008
  • Enforcing Transitivity in Coreference Resolution. Finkel, J. R., Manning, Christopher, D. 2008
  • Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates Goldwater, S., Jurafsky, D., Manning, Christopher, D. 2008
  • Efficient, Feature-based, Conditional Random Field Parsing Finkel, J. R., Kleeman, A., Manning, Christopher, D. 2008
  • Natural logic for textual inference. MacCartney, B., Manning, Christopher, D. 2007
  • Modelling Prominence and Emphasis Improves Unit-Selection Synthesis Strom, V., Nenkova, A., Clark, R., Vazquez-Alvarez, Y., Brenier, J., King, S. 2007
  • Aligning semantic graphs for textual inference and machine reading. Marneffe, M. d., Grenager, T., MacCartney, B., Cer, D., Ramage, D., Kiddon, C., Manning, Christopher, D. 2007
  • Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization Gupta, S., Nenkova, A., Jurafsky, D. 2007
  • Learning to Merge Word Senses Snow, R., Prakash, S., Jurafsky, D., Ng, Andrew, Y. 2007
  • Classifying Temporal Relations Between Events Chambers, N., Wang, S., Jurafsky, D. 2007
  • Learning Alignments and Leveraging Natural Logic Chambers, N., Cer, D., Grenager, T., Hall, D., Kiddon, C., MacCartney, B., Manning, Christopher, D. 2007
  • The Effect of Lexical Frequency on Tone Production Zhao, Y., Jurafsky, D. 2007
  • Aligning semantic graphs for textual inference and machine reading Marneffe, M. d., Grenager, T., MacCartney, B., Cer, D., Ramage, D., Kiddon, C., Manning, Christopher, D. 2007
  • The Infinite Tree Finkel, J. R., Grenager, T., Manning, Christopher, D. 2007
  • Lexical Semantic Relatedness with Random Graph Walks Hughes, T., Ramage, D. 2007
  • Disambiguating Between Generic and Referential “You” in Dialog Gupta, S., Purver, M., Jurafsky, D. 2007
  • Natural logic for textual inference MacCartney, B., Manning, Christopher, D. 2007
  • A fully Bayesian approach to unsupervised part-of-speech tagging. Goldwater, S., Griffiths, Thomas, L. 2007
  • A Discriminative Syntactic Word Order Model for Machine Translation Chang, P., Toutanova, K. 2007
  • Learning Alignments and Leveraging Natural Logic Chambers, N., Cer, D., Grenager, T., Hall, D., Kiddon, C., MacCartney, B., Manning, Christopher, D. 2007
  • Probabilistic models of language processing and acquisition Chater, N., Manning, C. D. ELSEVIER SCIENCE LONDON. 2006: 335-344

    Abstract

    Probabilistic methods are providing new explanatory approaches to fundamental cognitive science questions of how humans structure, process and acquire language. This review examines probabilistic models defined over traditional symbolic structures. Language comprehension and production involve probabilistic inference in such models; and acquisition involves choosing the best model, given innate constraints and linguistic and other input. Probabilistic models can account for the learning and processing of language, while maintaining the sophistication of symbolic models. A recent burgeoning of theoretical developments and online corpus creation has enabled large models to be tested, revealing probabilistic constraints in processing, undermining acquisition arguments based on a perceived poverty of the stimulus, and suggesting fruitful links with probabilistic theories of categorization and ambiguity resolution in perception.

    View details for DOI 10.1016/j.tics.2006.05.006

    View details for Web of Science ID 000239648200008

    View details for PubMedID 16784883

  • Unsupervised Discovery of a Statistical Verb Lexicon Grenager, T., Manning, Christopher, D. 2006
  • Detection of Word Fragments in Mandarin Telephone Conversation Chu, C., Sung, Y., Zhao, Y., Jurafsky, D. 2006
  • Learning to distinguish valid textual entailments Marneffe, M. d., MacCartney, B., Grenager, T., Cer, D., Rafferty, A., Manning, Christopher, D. 2006
  • Automatically Detecting Action Items in Audio Meeting Recordings Morgan, W., Chang, P., Gupta, S., Brenier, Jason, M. 2006
  • Unsupervised Discovery of a Statistical Verb Lexicon. Grenager, T., Manning, Christopher, D. 2006
  • Tregex and Tsurgeon: tools for querying and manipulating tree data structures. Levy, R., Andrew, G. 2006
  • Generating Typed Dependency Parses from Phrase Structure Parses Marneffe, M. d., MacCartney, B., Manning, Christopher, D. 2006
  • Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines Finkel, J. R., Manning, Christopher, D., Ng, Andrew, Y. 2006
  • The (Non)Utility of Linguistic Features for Predicting Prominence in Spontaneous Speech Brenier, Jason, M., Nenkova, A., Kothari, A., Whitton, L., Beaver, D., Jurafsky, D. 2006
  • Learning to recognize features of valid textual entailments. MacCartney, B., Grenager, T., Marneffe, M. d., Cer, D., Manning, Christopher, D. 2006
  • Learning to distinguish valid textual entailments. Marneffe, M. d., MacCartney, B., Grenager, T., Cer, D., Rafferty, A., Manning, Christopher, D. 2006
  • olving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines. Finkel, J. R., Manning, Christopher, D., Ng, Andrew, Y. 2006
  • Graphical Model Representations of Word Lattices Ji, G., Bilmes, J., Michels, J., Kirchhoff, K., Manning, C. 2006
  • Learning to recognize features of valid textual entailments MacCartney, B., Grenager, T., Marneffe, M. d., Cer, D., Manning, Christopher, D. 2006
  • Semantic Taxonomy Induction from Heterogenous Evidence Snow, R., Jurafsky, D., Ng, Andrew, Y. 2006
  • Generating Typed Dependency Parses from Phrase Structure Parses Marneffe, M. d., MacCartney, B., Manning, Christopher, D. 2006
  • Natural language grammar induction with a generative constituent-context model Klein, D., Manning, C. D. ELSEVIER SCI LTD. 2005: 1407-1419
  • A system for identifying named entities in biomedical text: how results from two evaluations reflect on both the system and the evaluations Dingare, S., Nissim, M., Finkel, J., Manning, C., Grover, C. HINDAWI PUBLISHING CORPORATION. 2005: 77-85

    Abstract

    We present a maximum entropy-based system for identifying named entities (NEs) in biomedical abstracts and present its performance in the only two biomedical named entity recognition (NER) comparative evaluations that have been held to date, namely BioCreative and Coling BioNLP. Our system obtained an exact match F-score of 83.2% in the BioCreative evaluation and 70.1% in the BioNLP evaluation. We discuss our system in detail, including its rich use of local features, attention to correct boundary identification, innovative use of external knowledge resources, including parsing and web searches, and rapid adaptation to new NE sets. We also discuss in depth problems with data annotation in the evaluations which caused the final performance to be lower than optimal.

    View details for DOI 10.1002/cfg.457

    View details for Web of Science ID 000227860600007

    View details for PubMedID 18629295

  • Robust Textual Inference using Diverse Knowledge Sources Raina, R., Haghighi, A., Cox, C., Finkel, J., Michels, J., Toutanova, K., Manning, Christopher, D. 2005
  • Incorporating non-local information into information extraction systems by Gibbs sampling. Finkel, J., Grenager, T., Manning, Christopher, D. 2005
  • Accent Detection and Speech Recognition for Shanghai-Accented Mandarin Zheng, Y., Sproat, R., Gu, L., Shafran, I., Zhou, H., Su, Y. 2005
  • A Joint Model for Semantic Role Labeling Haghighi, A., Toutanova, K., Manning, Christopher, D. 2005
  • A Conditional Random Field Word Segmenter Tseng, H., Chang, P., Andrew, G., Jurafsky, D., Manning, C. 2005
  • Pitch Accent Prediction: Effects of Genre and Speaker Yuan, J., Brenier, Jason, M., Jurafsky, D. 2005
  • The Detection of Emphatic Words Using Acoustic and Lexical Features Brenier, Jason, M., Cer, D., Jurafsky, D. 2005
  • A preliminary study of Mandarin filled pauses. Zhao, Y., Jurafsky, D. 2005
  • Unsupervised learning of field segmentation models for information extraction Grenager, T., Klein, D., Manning, Christopher, D. 2005
  • Stochastic HPSG Parse Disambiguation using the Redwoods Corpus Toutanova, K., Manning, Christopher, D., Flickinger, D., Oepen, S. 2005
  • Template Sampling for Leveraging Domain Knowledge in Information Extraction Cox, C., Nicolson, J., Finkel, J. R., Manning, C., Langley, P. 2005
  • Robust textual inference via learning and abductive reasoning. Raina, R., Ng, Andrew, Y., Manning, C. 2005
  • Morphological features help POS tagging of unknown words across language varieties Tseng, H., Jurafsky, D., Manning, C. 2005
  • Unsupervised Learning of Field Segmentation Models for Information Extraction Grenager, T., Klein, D., Manning, Christopher, D. 2005
  • Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling. Finkel, J. R., Grenager, T., Manning, C. 2005
  • Joint learning imrpoves semantic role labeling Toutanova, K., Haghighi, A., Manning, Christopher, D. 2005
  • Semantic Role Labeling Using Different Syntactic Views Pradhan, S., Ward, W., Hacioglu, K., Martin, J., Jurafsky, D. 2005
  • A Conditional Random Field Word Segmenter Tseng, H., Chang, P., Andrew, G., Jurafsky, D., Manning, C. 2005
  • Joint Learning Improves Semantic Role Labeling Toutanova, K., Haghighi, A., Manning, Christopher, D. 2005
  • Learning syntactic patterns for automatic hypernym discovery Snow, R., Jurafsky, D., Ng, A. 2005
  • A Rich and Dynamic Treebank for HPSG Oepen, S., Flickinger, D., Toutanova, K., Manning, Christopher, D. 2005
  • The Leaf Projection Path View of Parse Trees: Exploring String Kernels for HPSG Parse Selection Toutanova, K., Markova, P., Manning, C. 2004
  • Solving logic puzzles: from robust processing to precise semantics. Lev, I., MacCartney, B., Manning, Christopher, D., Levy, R. 2004
  • Deep dependencies from context-free statistical parsers: correcting the surface dependency approximation. Levy, R., Manning, Christopher, D. 2004
  • A System For Identifying Named Entities in Biomedical Text: How Results From Two Evaluations Reflect on Both the System and the Evaluations Dingare, S., Finkel, J., Nissim, M., Manning, C., Grove, C. 2004
  • Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web Finkel, J., Dingare, S., Nguyen, H., Nissim, M., Manning, C., Sinclair, G. 2004
  • Shallow semantic parsing using support vector machines. Pradhan, S., Ward, W., Hacioglu, K., Martin, J., Jurafsky, D. 2004
  • Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web Finkel, J., Dingare, S., Nguyen, H., Nissim, M., Manning, C., Sinclair, G. 2004
  • Deep dependencies from context-free statistical parsers: correcting the surface dependency approximation Levy, R., Manning, Christopher, D. 2004
  • Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency Klein, D., Manning, Christopher, D. 2004
  • Solving Logic Puzzles: From Robust Processing to Precise Semantics Lev, I., MacCartney, B., Manning, Christopher, D., Levy, R. 2004
  • Max-Margin Parsing Taskar, B., Klein, D., Collins, M., Koller, D., Manning, C. 2004
  • Automatic extraction of option propositions and their holders Bethard, S., Yu, H., Thornton, A., Hativassiloglou, V., Jurafsky, D. 2004
  • Parsing arguments of nominalizations in English and Chinese. Pradhan, S., Sun, H., Ward, W., Martin, J., Jurafsky, D. 2004
  • Verb Sense and Subcategorization: Using Joint Inference to Improve Performance on Complementary Tasks Andrew, G., Grenager, T., Manning, C. 2004
  • Automatic tagging of arabic text: from raw text to base phrase chunks. Diab, M., Hacioglu, K., Jurafsky, D. 2004
  • Exploring the Boundaries: Gene and Protein Identification in Biomedical Text Dingare, S., Finkel, J., Manning, C., Nissim, M., Alex, B. 2004
  • Learning Random Walk Models for Inducing Word Dependency Distributions Toutanova, K., Manning, Christopher, D., Ng, Andrew, Y. 2004
  • Spectral Learning Kamvar, Sepandar, D., Klein, D., Manning, Christopher, D. 2003
  • The EigenTrust Algorithm for Reputation Management in P2P Networks Kamvar, Sepandar, D., Schlosser, Mario, T., Garcia-Molina, H. 2003
  • Addressing the Non-Cooperation Problem in Competitive P2P Networks Yang, B., Kamvar, Sepandar, D., Garcia-Molina, H. 2003
  • Incentives for Combatting Freeriding on P2P Networks Kamvar, Sepandar, D., Schlosser, Mario, T., Garcia-Molina, H. 2003
  • Named Entity Recognition with Character-Level Models Klein, D., Smarr, J., Nguyen, H., Manning, Christopher, D. 2003
  • Extrapolation Methods for Accelerating PageRank Computations Kamvar, Sepandar, D., Haveliwala, Taher, H., Manning, Christopher, D., Golub, Gene, H. 2003
  • Extrapolation Methods for Accelerating PageRank Computations. Kamvar, Sepandar, D., Haveliwala, Taher, H., Manning, Christopher, D., Golub, Gene, H. 2003
  • Factored A* Search for Models over Sequences and Trees Klein, D., Manning, Christopher, D. 2003
  • Spectral Learning Kamvar, Sepandar, D., Klein, D., Manning, Christopher, D. 2003
  • Factored A* Search for Models over Sequences and Trees Klein, D., Manning, Christopher, D. 2003
  • Finding Educational Resources on the Web: Exploiting Automatic Extraction of Metadata Thompson, Cynthia, A., Smarr, J., Nguyen, H., Manning, C. 2003
  • Feature Selection for a Rich HPSG Grammar Using Decision Trees Toutanova, K., Manning, Christopher, D. 2002
  • Parse Disambiguation for a Rich HPSG Grammar. Toutanova, K., Manning, Christopher, D., Shieber, Stuart, M., Flickinger, D., Oepen, S. 2002
  • From Instance-level Constraints to Space-level Constraints: Making the Most of Prior Knowledge in Data Clustering Klein, D., Kamvar, Sepandar, D., Manning, Christopher, D. 2002
  • LinGO Redwoods. A Rich and Dynamic Treebank for HPSG Oepen, S., Flickinger, D., Toutanova, K., Manning, Christopher, D. 2002
  • Combining Heterogeneous Classifiers for Word-Sense Disambiguation Klein, D., Toutanova, K., Ilhan, H., Tolga, Kamvar, Sepandar, D., Manning, Christopher, D. 2002
  • Evaluating Strategies for Similarity Search on the Web Haveliwala, T., Gionis, A., Klein, D., Indyk, P. 2002
  • LinGO Redwoods: A Rich and Dynamic Treebank for HPSG Oepen, S., Callahan, E., Flickinger, D., Manning, Christopher, D., Toutanova, K. 2002
  • Simulating a File-Sharing P2P Network Schlosser, Mario, T., Condie, Tyson, E., Kamvar, Sepandar, D. 2002
  • Pronunciation Modeling for Improved Spelling Correction Toutanova, K., Moore, Robert, C. 2002
  • nterpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based Approach Kamvar, Sepandar, D., Klein, D., Manning, Christopher, D. 2002
  • The LinGO Redwoods Treebank: Motivation and Preliminary Applications Oepen, S., Toutanova, K., Shieber, S., Manning, C., Flickinger, D., Brants, T. 2002
  • LinGO Redwoods: A Rich and Dynamic Treebank for HPSG Oepen, S., Callahan, E., Flickinger, D., Manning, Christopher, D., Toutanova, K. 2002
  • LinGO Redwoods. A Rich and Dynamic Treebank for HPSG. Oepen, S., Flickinger, D., Toutanova, K., Manning, Christopher, D. 2002
  • Parse Disambiguation for a Rich HPSG Grammar Toutanova, K., Manning, Christopher, D., Shieber, Stuart, M., Flickinger, D., Oepen, S. 2002
  • The LinGO Redwoods Treebank: Motivation and Preliminary Applications. Oepen, S., Toutanova, K., Shieber, S., Manning, C., Flickinger, D., Brants, T. 2002
  • Feature Selection for a Rich HPSG Grammar Using Decision Trees Toutanova, K., Manning, Christopher, D. 2002
  • Combining Heterogeneous Classifiers for Word-Sense Disambiguation. Klein, D., Toutanova, K., Ilhan, H., Tolga, Kamvar, Sepandar, D., Manning, Christopher, D. 2002
  • From Instance-level Constraints to Space-level Constraints: Making the Most of Prior Knowledge in Data Clustering. Klein, D., Kamvar, Sepandar, D., Manning, Christopher, D. 2002
  • Parsing and Hypergraphs Klein, D., Manning, Christopher, D. 2001
  • Text Classification in a Hierarchical Mixture Model for Small Training Sets Toutanova, K., Chen, F., Popat, K., Hofmann, T. 2001
  • An O(n3) Agenda-Based Chart Parser for Arbitrary Probabilistic Context-Free Grammars Klein, D., Manning, Christopher, D. 2001
  • What's needed for lexical databases? Experiences with Kirrkirr Manning, C., Parton, K. 2001
  • Parsing and Hypergraphs Klein, D., Manning, Christopher, D. 2001
  • Soft Constraints Mirror Hard Constraints: Voice and Person in English and Lummi Bresnan, J., Dingare, S., Manning, Christopher, D. 2001
  • An Oncology Patient Interface to Medline Bernstam, E., Kamvar, Sepandar, D., Meric, F., Dugan, J., Chizek, S., Stave, C. 2001
  • Combining Heterogeneous Classifiers for Word-Sense Disambiguation Ilhan, H., Tolga, Kamvar, Sepandar, D., Klein, D., Manning, Christopher, D., Toutanova, K. 2001
  • What's needed for lexical databases? Experiences with Kirrkirr Manning, C., Parton, K. 2001
  • Distributional Phrase Structure Induction Klein, D., Manning, Christopher, D. 2001
  • Synovial tissue in rheumatoid arthritis is a source of osteoclast differentiation factor Gravallese, E. M., Manning, C., Tsay, A., Naito, A., Pan, C., Amento, E., GOLDRING, S. R. WILEY-BLACKWELL. 2000: 250-258

    Abstract

    Osteoclast differentiation factor (ODF; also known as osteoprotegerin ligand, receptor activator of nuclear factor kappaB ligand, and tumor necrosis factor-related activation-induced cytokine) is a recently described cytokine known to be critical in inducing the differentiation of cells of the monocyte/macrophage lineage into osteoclasts. The role of osteoclasts in bone erosion in rheumatoid arthritis (RA) has been demonstrated, but the exact mechanisms involved in the formation and activation of osteoclasts in RA are not known. These studies address the potential role of ODF and the bone and marrow microenvironment in the pathogenesis of osteoclast-mediated bone erosion in RA.Tissue sections from the bone-pannus interface at sites of bone erosion were examined for the presence of osteoclast precursors by the colocalization of messenger RNA (mRNA) for tartrate-resistant acid phosphatase (TRAP) and cathepsin K in mononuclear cells. Reverse transcriptase-polymerase chain reaction (RT-PCR) was used to identify mRNA for ODF in synovial tissues, adherent synovial fibroblasts, and activated T lymphocytes derived from patients with RA.Multinucleated cells expressing both TRAP and cathepsin K mRNA were identified in bone resorption lacunae in areas of pannus invasion into bone in RA patients. In addition, mononuclear cells expressing both TRAP and cathepsin K mRNA (preosteoclasts) were identified in bone marrow in and adjacent to areas of pannus invasion in RA erosions. ODF mRNA was detected by RT-PCR in whole synovial tissues from patients with RA but not in normal synovial tissues. In addition, ODF mRNA was detected in cultured adherent synovial fibroblasts and in activated T lymphocytes derived from RA synovial tissue, which were expanded by exposure to anti-CD3.TRAP-positive, cathepsin K-positive osteoclast precursor cells are identified in areas of pannus invasion into bone in RA. ODF is expressed by both synovial fibroblasts and by activated T lymphocytes derived from synovial tissues from patients with RA. These synovial cells may contribute directly to the expansion of osteoclast precursors and to the formation and activation of osteoclasts at sites of bone erosion in RA.

    View details for Web of Science ID 000085362800003

    View details for PubMedID 10693863

  • What's related? Generalizing approaches to related articles in medicine Strasberg, H. R., Manning, C. D., Rindfleisch, T. C., Melmon, K. L. HANLEY & BELFUS INC. 2000: 838-842

    Abstract

    We did formative evaluations of several variations to the computation of related articles for non-bibliographic resources in the medical domain.A binary model and several variations of the vector space model were used to measure similarity between documents. Two corpora were studied, using a human expert as the gold standard.Variations in term weights and stopword choices made little difference to performance. Performance was worse when documents were characterized by title words alone or by MeSH terms extracted from document references.Further studies are needed to evaluate these methods in medical information retrieval systems.

    View details for Web of Science ID 000170207500171

    View details for PubMedID 11080002

  • Using XSL And XQL For Efficient Customised Access To Dictionary Information. Jansz, K., Sng, W. J., Indurkhya, N., Manning, C. 2000
  • Kirrkirr: Software for browsing and visual exploration of a structured Warlpiri dictionary Manning, Christopher, D., Jansz, K., Indurkhya, N. 2000
  • What's related? Generalizing approaches to related articles in medicine. Strasberg, Howard, R., Manning, Christopher, D., Rindfleisch, Thomas, C., Melmon, Kenneth, L. 2000
  • What's related? Generalizing approaches to related articles in medicine HR, S., CD, M., TC, R., KL, M. 2000
  • Using XSL And XQL For Efficient Customised Access To Dictionary Information Jansz, K., Sng, W. J., Indurkhya, N., Manning, C. 2000
  • Medline IRaCS: An Information Retrieval and Clustering System for Genomic Knowledge Acquisition Kamvar, Sepandar, D., Giladi, E., Loring, J., Walker, M. 2000
  • Bilingual Dictionaries for Australian Languages: User studies on the place of paper and electronic dictionaries Corris, M., Manning, C., Poetsch, S., Simpson, J. 2000
  • Dictionaries and endangered languages Corris, M., Manning, C., Poetsch, S., Simpson, J. 1999
  • Kirrkirr: Interactive Visualisation And Multimedia From A Structured Warlpiri Dictionary Jansz, K., Manning, Christopher, D., Indurkhya, N. 1999
  • A dictionary database template for Australian Languages Baker, B., Manning, C. 1998
  • Voice and grammatical relations in Indonesian: A new perspective Arka, I. W., Manning, C. edited by Austin, Peter, K., Musgrave, S. 1998
  • Probabilistic Parsing Using Left Corner Language Models Manning, Christopher, D., Carpente, B. 1997
  • Argument structure as a locus for binding theory Manning, Christopher, D. 1996
  • Romance Complex Predicates: In defence of the right-branching structure Manning, Christopher, D. 1996
  • A Theory of Non-constituent Coordination based on Finite State Rules Maxwell III, John, T., Manning, Christopher, D. 1996
  • Ergativity: Argument Structure and Grammatical Relations Manning, Christopher, D. 1995
  • Dissociations between Argument Structure and Grammatical Relations Manning, Christopher, D., Sag, Ivan, A. 1995
  • Dissociating functor-argument structure from surface phrase structure: Manning, Christopher, D. 1995
  • Valency versus binding: On the distinctness of argument structure Manning, Christopher, D. 1995
  • The lexical integrity of Japanese causatives Iida, M., Manning, Christopher, D., O'Neill, P., Sag, Ivan, A. 1994
  • Automatic acquisition of a large subcategorization dictionary from corpora Manning, Christopher, D. 1993

Stanford Medicine Resources: