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Christopher D. Manning — all works

597 works · page 6 of 6 · 501–597 · ← Christopher D. Manning

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  1. Learning Representations for Unsupervised Skill Discovery ↗Stanford Digital Repository · no summary yetAdeniji, Ademiloluwa et al.2024
  2. Centering the Voices of First-Generation Immigrant Youth: Multilingual NLP Methods in the Translanguaging Context ↗Stanford Digital Repository · no summary yetPattichis, Rebecca et al.2022
  3. Comparing the Persuasiveness of Propaganda and GPT-3 Text ↗Open Science Framework · no summary yetJason Chao et al.2021
  4. Automated Disinformation: Investigating the Potential of GPT-3 in Information Operations ↗no summary yetJosh A. Goldstein et al.2021
  5. How Artificial Intelligence affects Trust in the News ↗no summary yetJosh A. Goldstein et al.2021
  6. Robust Deep Semantics for Language Understanding ↗no summary yetChristopher D. Manning, Dan Jurafsky, Percy Liang2018
  7. †Stanford NLP Group ↗no summary yetSamuel R. Bowman, Christopher E. Potts, Christopher D. Manning2016
  8. Objectives of this Course ↗no summary yetBerlin Chen et al.2016
  9. The World Wide Web (Web) ↗no summary yetBerlin Chen et al.2016
  10. Extrapolation Methods for Accelerating PageRank Computations ↗no summary yetChristoper D. Manning et al.2016
  11. Quadratic-time dependency parsing for machine translation ↗no summary yetChristoper D. Manning et al.2016
  12. Web Search Basics References: ↗no summary yetChristopher D. Manning et al.2016
  13. 2011b. Event extraction as dependency parsing for BioNLP 2011 ↗no summary yetDavid McClosky, Mihai Surdeanu, Christopher D. Manning2016
  14. Blind Domain Transfer for Named Entity Recognition using Generative Latent Topic Models ↗no summary yetRamesh M. Nallapati, Mihai Surdeanu, Christopher D. Manning2016
  15. We describe Stanford’s entry in the TAC- ↗no summary yetGabor Angeli et al.2015
  16. More constructions, more genres: Extending Stanford Dependencies Marie-Catherine de Marneffe∗, Miriam Connor, Natalia Silveira, ↗no summary yetSamuel R. Bowman, Timothy Dozat, Christopher D. Manning2015
  17. Applying Hierarchical Classification Techniques Without A Hierarchy ↗no summary yetMark Chavira, Dik Kin Wong, Christopher D. Manning2015
  18. AnO(n3) Agenda-Based Chart Parser for Arbitrary Probabilistic Context-Free Grammars ↗no summary yetDan Klein, Christopher D. Manning2015
  19. 1 Aims and Goals of Computational Linguistics ↗no summary yetChristopher D. Manning2015
  20. FSNLP, chapter 1 ↗no summary yetChristopher D. Manning, Hinrich Schütze2015
  21. Invited Talk: The Case for Universal Dependencies ↗Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015) · no summary yetManning, Christopher2015
  22. Conditional Estimation of HMMs for Information Extraction ↗no summary yetJoseph Smarr et al.2015
  23. A N F O ↗no summary yetWill Y. Zou et al.2015
  24. 2009, ‘Textual Entailment Features for Machine Translation Evaluation ↗no summary yetMichel Galley, Dan Jurafsky, Christopher D. Manning2014
  25. and Machine Learnability in Computer Aided Translation ↗no summary yetSpence Green et al.2014
  26. Accurate Unsupervised Learning of Field Structure Models for Information Extraction ↗no summary yetTrond Grenager, Dan Klein, Christopher D. Manning2014
  27. Stanford Universal dependencies ↗Digital Access to Libraries · no summary yetMarie-Catherine de Marneffe, Christopher D. Manning, EACL Universal Dependency Meeting2014
  28. Input TransPhone! English German Japanese Mandarin ↗no summary yetManolis Savva et al.2014
  29. Six Reasons to Explore Deep Learning ↗no summary yetRichard Socher et al.2014
  30. Chinese Word Segmentation with Dual Decomposition ↗no summary yetMengqiu Wang, Rob Voigt, Christopher D. Manning2014
  31. Fast deterministic dropout training NIPS workshop ↗no summary yetSida Wang, Christopher D. Manning2014
  32. • Part 1: Dropout as adaptive regularization ↗no summary yetSida Wang et al.2014
  33. Learning new facts from knowledge bases with neural tensor networks and semantic word vectors, CoRR abs/1301.3618 ↗no summary yetDanqi Chen et al.2013
  34. Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment (Supplementary Materials) ↗no summary yetJason Chuang et al.2013
  35. More constructions, more genres: Extending Stanford Dependencies Marie-Catherine de Marneffe ↗no summary yetMiriam K. Connor et al.2013
  36. (Katz and Postal 1963) ↗no summary yetSpence Green et al.2013
  37. on Statistical Machine Translation Shared ↗no summary yetSpence Green et al.2013
  38. Distributional Models for Corpus-Based Syntax Learning ↗no summary yetDan Klein, Christopher D. Manning2013
  39. Association for Computational Linguistics. Extensions to HMM-based Statistical Word Alignment Models ↗no summary yetKristina Toutanova, H. Tolga Ilhan, Christopher D. Manning2013
  40. Faust: Flexible Acquistion and Understanding System for Text ↗no summary yetL. L. Voss et al.2013
  41. Large-scale examination of academic publications using statistical models ↗no summary yetJason Chuang et al.2012
  42. Identifying Focus, Techniques and Domain of Scientific Papers ↗no summary yetSonal Gupta, Christopher D. Manning2012
  43. 2011 Fifth IEEE International Conference on Semantic Computing Veridicality and utterance understanding ↗no summary yetMarie-Catherine de Marneffe, Christopher D. Manning, Christopher E. Potts2012
  44. Short message communications: users, topics, and inlanguage processing ↗no summary yetRobert Munro, Christopher D. Manning2012
  45. Topic Modeling for the Social Sciences ↗no summary yetDaniel Ramage et al.2012
  46. ACL 2012 Tutorial References ↗no summary yetRichard Socher et al.2012
  47. SPEDE: Probabilistic edit distance . . . ↗no summary yetMengqiu Wang, Christopher D. Manning2012
  48. C.D.: Parsing natural scenes and natural language with recursive neural networks ↗no summary yetChristoper D. Manning et al.2011
  49. Unfolding Recursive Autoencoders for Paraphrase Detection ↗neural information processing systems · no summary yetChristopher D. Manning2011
  50. Legal Docket-Entry Classification: Where Machine Learning stumbles ↗no summary yetRamesh M. Nallapati, Christopher D. Manning2011
  51. A Gibbs Sampler for Spatial Clustering with the Distance-dependent Chinese Restaurant Process ↗no summary yetRichard Socher, Christopher D. Manning2011
  52. Edinburgh EH8 9LW ↗no summary yetJenny Rose Finkel et al.2009
  53. This document describes Stanford University’s first ↗no summary yetMichel Galley et al.2009
  54. AND THE COMMITTEE ON GRADUATE STUDIES ↗no summary yetChristopher D. Manning2009
  55. Measuring machine translation quality as semantic equivalence: A metric based on entailment features. Machine Translation ↗no summary yetSebastian Padó et al.2009
  56. Review TRENDS in Cognitive Sciences Vol.10 No.7 July 2006 Special Issue: Probabilistic models of cognition Probabilistic models of language processing and acquisition ↗no summary yetNick Chater, Christopher D. Manning2008
  57. Textbook and References • Textbook – R. Baeza-Yates and B. Ribeiro-Neto. Modern Information ↗no summary yetBerlin Chen et al.2008
  58. To appear in in Literary and Linguistic Computing, 16(1): 123–139, 2001. Kirrkirr: Software for browsing and visual exploration of a structured Warlpiri dictionary ↗no summary yetChristopher D. Manning et al.2008
  59. An Informal Introduction to Computational Semantics ↗no summary yetChristopher D. Manning2008
  60. Lexical And Constructional Aspects of Linguistic Explanation. ↗no summary yetChristopher D. Manning et al.2008
  61. LFG within King’s ↗no summary yetChristopher D. Manning2008
  62. Link analysis ↗Cambridge University Press eBooks · no summary yetChristopher D. Manning, Prabhakar Raghavan, Hinrich Schütze2008
  63. Table of Notation ↗no summary yetChristopher D. Manning, Prabhakar Raghavan, Hinrich Schütze2008
  64. typed dependencies manual ↗no summary yetMarie-Catherine de Marneffe, Christopher D. Manning2008
  65. Evaluating MT output with entailment technology ↗no summary yetSebastian Padó et al.2008
  66. K.L.Melmon, “What's related? Generalizing approaches to related articles ↗no summary yetHoward R. Strasberg et al.2008
  67. Lexicon Schemas and Related Data Models: when Standards Meet Users ↗Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08) · no summary yetThorsten Trippel et al.2008
  68. What's Related? Generalizing Approaches to Related Articles in Medicine ↗no summary yetHoward Strasberg Christopher et al.2007
  69. Lexical Conceptual Structure and Marathi ↗no summary yetChristopher D. Manning2007
  70. Rethinking Text Segmentation Models: An Information Extraction Case Study ↗no summary yetChristopher D. Manning2007
  71. What's needed for lexical databases? Experiences with Kirrkirr ↗no summary yetChristopher D. Manning, Kristen Parton2007
  72. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network ↗no summary yetKristina Toutanova et al.2007
  73. Linguistics, computational linguistics and cognitive science ↗no summary yetNick Chater, Christopher D. Manning2006
  74. P.: Template sampling for leveraging domain knowledge in information extraction ↗no summary yetChristopher Cox et al.2005
  75. Template Sampling for Leveraging Domain Knowledge in Information Extraction ↗no summary yetChristopher Cox et al.2005
  76. C.: Exploring the boundaries: Gene and protein identification in biomedical text ↗no summary yetShipra Dingare et al.2005
  77. A system for identifying named entities in biomedical text: How results from two evaluations reflect on both the system and the evaluations. In The 2004 BioLink meeting at ISMB ↗no summary yetShipra Dingare et al.2005
  78. AND THE COMMITTEE ON GRADUATE STUDIES ↗no summary yetDan Klein, Christopher D. Manning2005
  79. Learning Random Walk Models for ↗no summary yetInducing Word Dependency et al.2004
  80. Learning random walk models for inducing word dependency distributions. ICML ↗no summary yetKristina Toutanova, Christopher D. Manning, Andrew Ng2004
  81. Exploiting the Block Structure of the Web for Computing ↗no summary yetSepandar D. Kamvar et al.2003
  82. Inducing Novel Gene-Drug Interactions from the Biomedical Literature ↗no summary yetSepandar D. Kamvar et al.2002
  83. Beyond Grammar (Book) ↗Journal of Linguistics · no summary yetChristopher D. Manning2002
  84. Draft. To appear in Bod, Hay and Jannedy (eds),Probabilistic Linguistics, MIT Press Probabilistic Syntax ↗no summary yetChristopher D. Manning2002
  85. From Instance-level Constraints to Space-level Constraints: ↗no summary yetMaking The Most et al.2002
  86. What's needed for lexical databases? Experiences with Kirrkirr ↗no summary yetChristopher Manning Department, Christopher D. Manning2001
  87. Probabilistic Approaches to Syntax ↗no summary yetChristopher D. Manning2001
  88. An Introduction to Formal Computational Semantics ↗no summary yetChristopher D. Manning2000
  89. Complex Predicates and Information Spreading in LFG, Avery D. Andrews & Christopher D. Manning, CSLI Publications, 1999. ↗no summary yetGosse Bouma et al.1999
  90. Linguistics in an Age of Engineering ↗Proceedings of the 13th Pacific Asia Conference on Language, Information and Computation · no summary yetManning, Christopher1999
  91. Manning Parsing Models for Identifying Multiword Expressions ↗no summary yetSpence Green, Christopher D. Manning1998
  92. In R. D. Levine and G. M. Green (eds), 1999, Studies in Contemporary Phrase Structure Grammar, pp. 39–79. The Lexical Integrity of Japanese Causatives ↗no summary yetChristopher D. Manning, Ivan A. Sag, Masayo Iida1998
  93. vous ai c. S ↗no summary yetChristopher D. Manning1997
  94. Romance Complex Predicates: Phrasal and Functional Structure ↗no summary yetChristopher D. Manning1996
  95. Presents Embedded Under Pasts ↗no summary yetChristopher D. Manning1995
  96. Valency versus binding: On the distinctness of argument structure ↗no summary yetChristopher D. Manning1995
  97. LFG within King's descriptive formalism ↗no summary yetChristopher D. Manning1991

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