- Robust textual inference via learning and abductive reasoning Rajat Raina, Andrew Y. Ng and Christopher D. Manning
- AUTOMATIC ACQUISITION OF A LARGE SUBCATEGORIZATION DICTIONARY FROM CORPORA
- Learning to distinguish valid textual entailments Marie-Catherine de Marneffe, Bill MacCartney, Trond Grenager,
- Robust textual inference via learning and abductive reasoning Rajat Raina, Andrew Y. Ng and Christopher D. Manning
- Dissociating functorargument structure from surface phrase structure: the relationship
- A Generative Model for Semantic Role Labeling Cynthia A. Thompson1, Roger Levy2, and Christopher D. Manning2
- LinGO Redwoods A Rich and Dynamic Treebank for HPSG
- Argument structure as a locus for binding theory Christopher D. Manning
- LOCAL TEXTUAL INFERENCE: IT'S H ARD TO CIRCUM S CRIB E, B UT Y OU K NOW IT W H EN Y OU S EE IT AND NLP NEED S IT
- PARSING AND HYPERGRAPHS Dan Klein and Christopher D. Manning
- Parsing Natural Scenes and Natural Language with Recursive Neural Networks
- Dissociating functor-argument structure from surface phrase structure: the relationship
- Valency versus binding: On the distinctness of argument structure
- Extensions to HMM-based Statistical Word Alignment Models Kristina Toutanova, H. Tolga Ilhan and Christopher D. Manning
- Feature Selection for a Rich HPSG Grammar Using Decision Trees Kristina Toutanova and Christopher D. Manning
- Analyzing the verbal noun: Internal and external constraints
- Incorporating Nonlocal Information into Information Extraction Systems by Gibbs Sampling
- Aligning Semantic Graphs for Textual Inference and Machine Reading Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel Cer,
- Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates
- Unsupervised Discovery of a Statistical Verb Lexicon Trond Grenager and Christopher D. Manning
- Aligning Semantic Graphs for Textual Inference and Machine Reading MarieCatherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel Cer,
- TEXTUALI NFERENCE NOI T EN OU
- REGULARIZATION, ADAPTATION, AND NONINDEPENDENT FEATURES IMPROVE HIDDEN CONDITIONAL RANDOM FIELDS FOR PHONE CLASSIFICATION
- Romance Complex Predicates: In defence of the rightbranching structure
- Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank
- Interpreting and Extending Classical Agglomerative Clustering Algorithms using a ModelBased Approach
- Robust Textual Inference via Graph Matching Aria D. Haghighi
- A System For Identifying Named Entities in Biomedical Text: How Results From Two Evaluations Reflect on Both the System and the Evaluations
- Bilingual Dictionaries for Australian Languages: User studies on the place of paper and electronic dictionaries
- The Infinite Tree Jenny Rose Finkel, Trond Grenager, and Christopher D. Manning
- What's needed for lexical databases? Experiences with Kirrkirr Christopher D. Manning
- Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network Kristina Toutanova Dan Klein
- A Generative Model for Semantic Role Labeling Cynthia A. Thompson 1 , Roger Levy 2 , and Christopher D. Manning 2
- Parse Disambiguation for a Rich HPSG Grammar Kristina Toutanova,* Christopher D. Manning,* Stuart M. Shieber, # Dan Flickinger, + and
- Ergativity: Argument Structure and Grammatical Relations
- Computing PageRank using Power Extrapolation Taher Haveliwala, Sepandar Kamvar, Dan Klein, Chris Manning, and Gene Golub
- A Generative ConstituentContext Model for Improved Grammar Induction Dan Klein and Christopher D. Manning
- Robust Textual Inference via Graph Matching Aria D. Haghighi
- An extended model of natural logic Bill MacCartney and Christopher D. Manning
- Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?
- Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
- A Simple and Effective Hierarchical Phrase Reordering Model Michel Galley
- Finding Contradictions in Text Marie-Catherine de Marneffe,
- Regularization and Search for Minimum Error Rate Training Daniel Cer, Daniel Jurafsky, and Christopher D. Manning
- Online edition (c) 2009 Cambridge UP Introduction
- An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
- Learning to recognize features of valid textual entailments Bill MacCartney, Trond Grenager, Marie-Catherine de Marneffe,
- Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
- Robust Textual Inference using Diverse Knowledge Sources Rajat Raina, Aria Haghighi, Christopher Cox, Jenny Finkel, Jeff Michels, Kristina Toutanova
- Learning Random Walk Models for Inducing Word Dependency Distributions
- Exploring the Boundaries: Gene and Protein Identification in Biomedical Text Shipra Dingare,* Jenny Finkel,** Christopher Manning,**
- Parse Selection on the Redwoods Corpus: 3rd Growth Results Kristina Toutanova, Christopher D. Manning, Stephan Oepen, Dan Flickinger
- Accurate Unlexicalized Parsing Computer Science Department
- Spectral Learning Sepandar D. Kamvar
- Computing PageRank using Power Extrapolation Taher Haveliwala, Sepandar Kamvar, Dan Klein, Chris Manning, and Gene Golub
- Exploiting the Block Structure of the Web for Computing Sepandar D. Kamvar Taher H. Haveliwala Christopher D. Manning Gene H. Golub
- Extrapolation Methods for Accelerating PageRank Computations
- "# $%&'( )&0(12 345(16(7 8# 9(@A(72 8(1 9&4B12 C07BDE%5047 8# F(11B1' GHI 97BDEB1( $%PE(1%A(
- Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger
- What's Related? Generalizing Approaches to Related Articles in Medicine Howard R. Strasberg, M.D., Christopher D. Manning, Ph.D.,
- Dissociations Between Argument Structure And Grammatical
- In R. D. Levine and G. M. Green (eds), 1999, Studies in Contemporary Phrase Structure Grammar, pp. 3979. The Lexical Integrity of Japanese Causatives
- Dissociations between Argument Structure and Grammatical Relations
- Romance is so complex Christopher D. Manning
- LFG within King's descriptive formalism Christopher Manning
- Lexical Conceptual Structure and Marathi Christopher Manning
- Discriminative Reordering with Chinese Grammatical Relations Features Pi-Chuan Changa, Huihsin Tsengb, Dan Jurafskya, and Christopher D. Manninga
- Dissociations Between Argument Structure And Grammatical
- Modeling Semantic Containment and Exclusion in Natural Language Inference
- LFG within King's descriptive formalism Christopher Manning
- Natural Language Grammar Induction using a ConstituentContext Model
- Optimizing Local Probability Models for Statistical Kristina Toutanova 1 , Mark Mitchell 2 , and Christopher D. Manning 1
- Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines
- Nested Named Entity Recognition Jenny Rose Finkel and Christopher D. Manning
- Max-Margin Parsing Computer Science Dept.
- Lexical Conceptual Structure and Marathi Christopher Manning
- Parse Selection on the Redwoods Corpus: 3rd Growth Results Kristina Toutanova, Christopher D. Manning, Stephan Oepen, Dan Flickinger
- Rethinking Text Segmentation Models: An Information Extraction Case Study
- Presents embedded under pasts Christopher Manning
- Soft Constraints Mirror Hard Constraints: Voice and Person in English and Lummi1
- Natural Language Grammar Induction using a Constituent-Context Model
- Parse Disambiguation for a Rich HPSG Grammar Kristina Toutanova,* Christopher D. Manning,* Stuart M. Shieber, Dan Flickinger, and
- Romance is so complex Christopher D. Manning
- Combining Heterogeneous Classi ers for Word-Sense Disambiguation
- Dissociations Grammatical
- LinGO Redwoods Rich and Dynamic Treebank HPSG
- Extrapolation Methods for Accelerating PageRank Computations
- The Lexical Integrity of Japanese Causatives Masayo Iida, Christopher D. Manning, Patrick O'Neill, Ivan A. Sag
- Learning Random Walk Models for Inducing Word Dependency Distributions
- Draft. To appear in Bod, Hay and Jannedy (eds),Probabilistic Linguistics, MIT Press Probabilistic Syntax
- Deep dependencies from contextfree statistical parsers: correcting the surface dependency approximation
- Dictionaries and endangered languages Miriam Corris, Christopher Manning, Susan Poetsch, Jane Simpson
- Dissociations between Argument Structure and Grammatical Relations
- Distributional Phrase Structure Induction Dan Klein and Christopher D. Manning
- What's needed for lexical databases? Experiences with Kirrkirr Christopher D. Manning
- CorpusBased Induction of Syntactic Structure: Models of Dependency and Constituency
- Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines
- Log-Linear Models for Label Ranking Computer Science & Eng.
- Conditional Structure versus Conditional Estimation in NLP Models Dan Klein and Christopher D. Manning
- Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency
- Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank
- A* Parsing: Fast Exact Viterbi Parse Selection Computer Science Department
- NIST Open Machine Translation 2008 Evaluation: Stanford University's System Description
- Romance Complex Predicates: In defence of the right-branching structure
- Presents embedded under pasts Christopher Manning
- An O(n 3 ) AgendaBased Chart Parser for Arbitrary Probabilistic ContextFree Grammars
- Draft. To appear in Bod, Hay and Jannedy(eds),7740 67680 Linguistics, MIT Press
- A Phrase-Based Alignment Model for Natural Language Inference Bill MacCartney, Michel Galley, Christopher D. Manning
- AUTOMATIC ACQUISITION OF A LARGE SUBCATEGORIZATION DICTIONARY FROM CORPORA
- Robust Textual Inference using Diverse Knowledge Sources Rajat Raina, Aria Haghighi, Christopher Cox, Jenny Finkel, Jeff Michels, Kristina Toutanova
- The Stanford typed dependencies representation Marie-Catherine de Marneffe
- 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
- Solving Logic Puzzles: From Robust Processing to Precise Iddo Lev, # Bill MacCartney, # Christopher D. Manning, #+ and Roger Levy +
- BioMed Central Page 1 of 9
- The Infinite Tree Jenny Rose Finkel, Trond Grenager, and Christopher D. Manning
- NP Subject Detection in Verb-Initial Arabic Clauses Spence Green, Conal Sathi, and Christopher D. Manning
- LinGO Redwoods A Rich and Dynamic Treebank for HPSG
- Factored A* Search for Models over Sequences and Trees Department of Computer Science
- Agenda-Based Chart Parser for Arbitrary Probabilistic Context-Free Grammars
- LinGO Redwoods A Rich and Dynamic Treebank for HPSG
- PARSING AND HYPERGRAPHS Dan Klein and Christopher D. Manning
- A Theory of Nonconstituent Coordination based on FiniteState Rules
- Is it harder to parse Chinese, or the Chinese Treebank? Department of Linguistics
- Unsupervised Discovery of a Statistical Verb Lexicon Trond Grenager and Christopher D. Manning
- A Joint Model for Semantic Role Labeling Aria Haghighi
- Fast Exact Inference with a Factored Model for Natural Language Parsing
- Enriching the Knowledge Sources Used in a Maximum Entropy PartofSpeech Tagger
- Finding Educational Resources on the Web: Exploiting Automatic Extraction of Metadata
- A Joint Model for Semantic Role Labeling Aria Haghighi
- A # Parsing: Fast Exact Viterbi Parse Selection Dan Klein and Christopher D. Manning
- Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web
- BioMedCentral Page 1 of 9
- Information Spreading and Levels of Representation in LFG
- Joint Learning Improves Semantic Role Labeling Kristina Toutanova
- The LinGO Redwoods Treebank Motivation and Preliminary Applications
- Conditional Structure versus Conditional Estimation in NLP Models Dan Klein and Christopher D. Manning
- Exploiting the Block Structure of the Web for Computing Sepandar D. Kamvar Taher H. Haveliwala Christopher D. Manning Gene H. Golub
- Verb Sense and Subcategorization: Using Joint Inference to Improve Performance on Complementary Tasks
- A Generative Constituent-Context Model for Improved Grammar Induction Dan Klein and Christopher D. Manning
- An exploration of sentiment summarization Philip Beineke and Trevor Hastie
- Using Feature Conjunctions across Examples for Learning Pairwise Classifiers
- Soft Constraints Mirror Hard Constraints: Voice and Person in English and Lummi 1
- From Instancelevel Constraints to Spacelevel Constraints: Making the Most of Prior Knowledge in Data Clustering
- Voice and grammatical relations in Indonesian: A new perspective I Wayan Arka and Christopher D. Manning
- Joint Learning Improves Semantic Role Labeling Kristina Toutanova
- Optimizing Local Probability Models for Statistical Kristina Toutanova1
- Generating Typed Dependency Parses from Phrase Structure Parses Marie-Catherine de Marneffe,
- Named Entity Recognition with CharacterLevel Models Dan Klein Joseph Smarr Huy Nguyen Christopher D. Manning
- LogLinear Models for Label Ranking Computer Science & Eng.
- Factored A* Search for Models over Sequences and Trees Department of Computer Science
- Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
- Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
- Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
