Christopher D. Manning

MoEUT: Mixture-of-Experts Universal Transformers NeurIPS 2024 MSCAW-coref: Multilingual, Singleton and Conjunction-Aware Word-Level Coreference Resolution EMNLP 2024 ReFT: Representation Finetuning for Language Models NeurIPS 2024 An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement NeurIPS 2023 Direct Preference Optimization: Your Language Model is Secretly a Reward Model NeurIPS 2023 Mini But Mighty: Efficient Multilingual Pretraining with Linguistically-Informed Data Selection EACL 2023 Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching EMNLP 2023 Contrastive Learning of Medical Visual Representations from Paired Images and Text MLHC 2022 Deep Bidirectional Language-Knowledge Graph Pretraining NeurIPS 2022 Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset NeurIPS 2022 Synthetic Disinformation Attacks on Automated Fact Verification Systems AAAI 2022 ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators ICLR 2020 Finding Universal Grammatical Relations in Multilingual BERT ACL 2020 Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports ACL 2020 Pre-Training Transformers as Energy-Based Cloze Models EMNLP 2020 [RETRACTED] Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation ACL 2020 RNNs can generate bounded hierarchical languages with optimal memory EMNLP 2020 SLM: Learning a Discourse Language Representation with Sentence Unshuffling EMNLP 2020 Stanza: A Python Natural Language Processing Toolkit for Many Human Languages ACL 2020 Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations EMNLP 2020 The EOS Decision and Length Extrapolation EMNLP 2020 Answering Complex Open-domain Questions Through Iterative Query Generation EMNLP 2019 A Structural Probe for Finding Syntax in Word Representations NAACL 2019 BAM! Born-Again Multi-Task Networks for Natural Language Understanding ACL 2019 Do Massively Pretrained Language Models Make Better Storytellers? CoNLL 2019 GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering CVPR 2019 Learning by Abstraction: The Neural State Machine NeurIPS 2019 What Does BERT Look at? An Analysis of BERT’s Attention ACL 2019 Compositional Attention Networks for Machine Reasoning ICLR 2018 Graph Convolution over Pruned Dependency Trees Improves Relation Extraction EMNLP 2018 HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering EMNLP 2018 Learning to Summarize Radiology Findings EMNLP 2018 Semi-Supervised Sequence Modeling with Cross-View Training EMNLP 2018 Sentences with Gapping: Parsing and Reconstructing Elided Predicates NAACL 2018 Simpler but More Accurate Semantic Dependency Parsing ACL 2018 Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts EMNLP 2018 Universal Dependency Parsing from Scratch CoNLL 2018 Arc-swift: A Novel Transition System for Dependency Parsing ACL 2017 CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies CoNLL 2017 Get To The Point: Summarization with Pointer-Generator Networks ACL 2017 Importance sampling for unbiased on-demand evaluation of knowledge base population EMNLP 2017 Naturalizing a Programming Language via Interactive Learning ACL 2017 Position-aware Attention and Supervised Data Improve Slot Filling EMNLP 2017 Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task CoNLL 2017 Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models ACL 2016 A Fast Unified Model for Parsing and Sentence Understanding ACL 2016 A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task ACL 2016 Combining Natural Logic and Shallow Reasoning for Question Answering ACL 2016 Compression of Neural Machine Translation Models via Pruning CoNLL 2016 Deep Reinforcement Learning for Mention-Ranking Coreference Models EMNLP 2016 Improving Coreference Resolution by Learning Entity-Level Distributed Representations ACL 2016 Learning Language Games through Interaction ACL 2016 Neural Machine Translation ACL 2016 A large annotated corpus for learning natural language inference EMNLP 2015 Deep Neural Language Models for Machine Translation CoNLL 2015 Distributed Representations of Words to Guide Bootstrapped Entity Classifiers NAACL 2015 Effective Approaches to Attention-based Neural Machine Translation EMNLP 2015 Entity-Centric Coreference Resolution with Model Stacking ACL 2015 Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks ACL 2015 Leveraging Linguistic Structure For Open Domain Information Extraction ACL 2015 On-the-Job Learning with Bayesian Decision Theory NeurIPS 2015 Robust Subgraph Generation Improves Abstract Meaning Representation Parsing ACL 2015 Text to 3D Scene Generation with Rich Lexical Grounding ACL 2015 Combining Distant and Partial Supervision for Relation Extraction EMNLP 2014 Faster Phrase-Based Decoding by Refining Feature State ACL 2014 Global Belief Recursive Neural Networks NeurIPS 2014 Human Effort and Machine Learnability in Computer Aided Translation EMNLP 2014 Learning Distributed Representations for Structured Output Prediction NeurIPS 2014 Learning Spatial Knowledge for Text to 3D Scene Generation EMNLP 2014 Modeling Biological Processes for Reading Comprehension EMNLP 2014 NaturalLI: Natural Logic Inference for Common Sense Reasoning EMNLP 2014 Robust Logistic Regression using Shift Parameters ACL 2014 Simple MAP Inference via Low-Rank Relaxations NeurIPS 2014 Two Knives Cut Better Than One: Chinese Word Segmentation with Dual Decomposition ACL 2014 Word Segmentation of Informal Arabic with Domain Adaptation ACL 2014 Bilingual Word Embeddings for Phrase-Based Machine Translation EMNLP 2013 Deep Learning for NLP (without Magic) NAACL 2013 Effect of Non-linear Deep Architecture in Sequence Labeling IJCNLP 2013 Fast and Adaptive Online Training of Feature-Rich Translation Models ACL 2013 Feature Noising for Log-Linear Structured Prediction EMNLP 2013 Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition ACL 2013 Learning a Product of Experts with Elitist Lasso IJCNLP 2013 Learning Biological Processes with Global Constraints EMNLP 2013 Named Entity Recognition with Bilingual Constraints NAACL 2013 Parsing with Compositional Vector Grammars ACL 2013 Reasoning With Neural Tensor Networks for Knowledge Base Completion NeurIPS 2013 Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank EMNLP 2013 SUTime: Evaluation in TempEval-3 SemEval 2013 Zero-Shot Learning Through Cross-Modal Transfer NeurIPS 2013 Convolutional-Recursive Deep Learning for 3D Object Classification NeurIPS 2012 Deep Learning for NLP (without Magic) ACL 2012 Entity Clustering Across Languages NAACL 2012 Learning Constraints for Consistent Timeline Extraction EMNLP 2012 Multi-instance Multi-label Learning for Relation Extraction EMNLP 2012 Probabilistic Finite State Machines for Regression-based MT Evaluation EMNLP 2012 Semantic Compositionality through Recursive Matrix-Vector Spaces EMNLP 2012 Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection NeurIPS 2011 Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French EMNLP 2011 Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions EMNLP 2011 Accurate Non-Hierarchical Phrase-Based Translation NAACL 2010 Better Arabic Parsing: Baselines, Evaluations, and Analysis COLING 2010 Ensemble Models for Dependency Parsing: Cheap and Good? NAACL 2010 Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data ACL 2010 Improved Models of Distortion Cost for Statistical Machine Translation NAACL 2010 Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features NAACL 2010 Subword Variation in Text Message Classification NAACL 2010 The Best Lexical Metric for Phrase-Based Statistical MT System Optimization NAACL 2010 Viterbi Training Improves Unsupervised Dependency Parsing CoNLL 2010 “Was It Good? It Was Provocative.” Learning the Meaning of Scalar Adjectives ACL 2010 Hierarchical Bayesian Domain Adaptation NAACL 2009 Joint Parsing and Named Entity Recognition NAACL 2009 Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora EMNLP 2009 Nested Named Entity Recognition EMNLP 2009 Quadratic-Time Dependency Parsing for Machine Translation ACL 2009 Robust Machine Translation Evaluation with Entailment Features ACL 2009 A Phrase-Based Alignment Model for Natural Language Inference EMNLP 2008 A Simple and Effective Hierarchical Phrase Reordering Model EMNLP 2008 Efficient, Feature-based, Conditional Random Field Parsing ACL 2008 Enforcing Transitivity in Coreference Resolution ACL 2008 Finding Contradictions in Text ACL 2008 Legal Docket Classification: Where Machine Learning Stumbles EMNLP 2008 Modeling Semantic Containment and Exclusion in Natural Language Inference COLING 2008 Studying the History of Ideas Using Topic Models EMNLP 2008 Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates ACL 2008 The Infinite Tree ACL 2007 An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition ACL 2006 Learning to recognize features of valid textual entailments NAACL 2006 Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines EMNLP 2006 Unsupervised Discovery of a Statistical Verb Lexicon EMNLP 2006 Language Learning: Beyond Thunderdome CoNLL 2004 Accurate Unlexicalized Parsing ACL 2003 A* Parsing: Fast Exact Viterbi Parse Selection NAACL 2003 Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network NAACL 2003 Is it Harder to Parse Chinese, or the Chinese Treebank? ACL 2003 Named Entity Recognition with Character-Level Models CoNLL 2003 A Generative Constituent-Context Model for Improved Grammar Induction ACL 2002 Conditional Structure versus Conditional Estimation in NLP Models EMNLP 2002 Feature Selection for a Rich HPSG Grammar Using Decision Trees CoNLL 2002 Distributional phrase structure induction CoNLL 2001 Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank ACL 2001 Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger ACL 2000