NLPExplorer

Christopher D Manning

Number of Papers:- 217

Number of Citations:- 9585

First ACL Paper:- 1993

Latest ACL Paper:- 2020

Venues:-

SSST

BlackboxNLP

COLING

IWPT

DepLing

NAACL

*SEMEVAL

LREC

HLT

BioNLP

ACL

LatentVar

UDW

TACL

SIGDIAL

EACL

IWCS

EMNLP

Findings

RepEval

WMT

IJCNLP

PACLIC

CoNLL

CVSC

SIGHAN

Co-Authors:-

Aju Thalappillil Scaria

Similar Authors:-

Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation ACL

Kaustubh Dhole | Christopher D. Manning |

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages ACL

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports ACL

Finding Universal Grammatical Relations in Multilingual BERT ACL

Ethan A. Chi | John Hewitt | Christopher D. Manning |

Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations EMNLP Findings

Peng Qi | Yuhao Zhang | Christopher D. Manning |

RNNs can generate bounded hierarchical languages with optimal memory EMNLP

SLM: Learning a Discourse Language Representation with Sentence Unshuffling EMNLP

Haejun Lee | Drew A. Hudson | Kangwook Lee | Christopher D. Manning |

The EOS Decision and Length Extrapolation BlackboxNLP EMNLP

Benjamin Newman | John Hewitt | Percy Liang | Christopher D. Manning |

Pre-Training Transformers as Energy-Based Cloze Models EMNLP

Kevin Clark | Minh-Thang Luong | Quoc Le | Christopher D. Manning |

Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection LREC

Answering Complex Open-domain Questions Through Iterative Query Generation EMNLP

Do Massively Pretrained Language Models Make Better Storytellers? CoNLL

A Structural Probe for Finding Syntax in Word Representations NAACL

John Hewitt | Christopher D. Manning |

BAM! Born-Again Multi-Task Networks for Natural Language Understanding ACL

CoQA: A Conversational Question Answering Challenge TACL

Siva Reddy | Danqi Chen | Christopher D. Manning |

What Does BERT Look at? An Analysis of BERT’s Attention ACL WS

Kevin Clark | Urvashi Khandelwal | Omer Levy | Christopher D. Manning |

Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts EMNLP

Semi-Supervised Sequence Modeling with Cross-View Training EMNLP

Kevin Clark | Minh-Thang Luong | Christopher D. Manning | Quoc Le |

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction EMNLP

Yuhao Zhang | Peng Qi | Christopher D. Manning |

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering EMNLP

Universal Dependency Parsing from Scratch CoNLL

Peng Qi | Timothy Dozat | Yuhao Zhang | Christopher D. Manning |

Sentences with Gapping: Parsing and Reconstructing Elided Predicates NAACL

Sebastian Schuster | Joakim Nivre | Christopher D. Manning |

Simpler but More Accurate Semantic Dependency Parsing ACL

Timothy Dozat | Christopher D. Manning |

Learning to Summarize Radiology Findings EMNLP WS

Position-aware Attention and Supervised Data Improve Slot Filling EMNLP

Importance sampling for unbiased on-demand evaluation of knowledge base population EMNLP

Arun Chaganty | Ashwin Paranjape | Percy Liang | Christopher D. Manning |

A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue EACL

Mihail Eric | Christopher Manning |

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies CoNLL

Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task CoNLL

Timothy Dozat | Peng Qi | Christopher D. Manning |

Naturalizing a Programming Language via Interactive Learning ACL

Sida I. Wang | Samuel Ginn | Percy Liang | Christopher D. Manning |

Get To The Point: Summarization with Pointer-Generator Networks ACL

Abigail See | Peter J. Liu | Christopher D. Manning |

Arc-swift: A Novel Transition System for Dependency Parsing ACL

Peng Qi | Christopher D. Manning |

Gapping Constructions in Universal Dependencies v2 UDW WS

Sebastian Schuster | Matthew Lamm | Christopher D. Manning |

Key-Value Retrieval Networks for Task-Oriented Dialogue SIGDIAL WS

Mihail Eric | Lakshmi Krishnan | Francois Charette | Christopher D. Manning |

Deep Reinforcement Learning for Mention-Ranking Coreference Models EMNLP

Kevin Clark | Christopher D. Manning |

Compression of Neural Machine Translation Models via Pruning CoNLL

Abigail See | Minh-Thang Luong | Christopher D. Manning |

A comparison of Named-Entity Disambiguation and Word Sense Disambiguation LREC

Angel Chang | Valentin I. Spitkovsky | Christopher D. Manning | Eneko Agirre |

Universal Dependencies v1: A Multilingual Treebank Collection LREC

Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks LREC

Sebastian Schuster | Christopher D. Manning |

Combining Natural Logic and Shallow Reasoning for Question Answering ACL

Gabor Angeli | Neha Nayak | Christopher D. Manning |

Improving Coreference Resolution by Learning Entity-Level Distributed Representations ACL

Kevin Clark | Christopher D. Manning |

Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models ACL

Minh-Thang Luong | Christopher D. Manning |

A Fast Unified Model for Parsing and Sentence Understanding ACL

A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task ACL

Danqi Chen | Jason Bolton | Christopher D. Manning |

Learning Language Games through Interaction ACL

Sida I. Wang | Percy Liang | Christopher D. Manning |

Evaluating Word Embeddings Using a Representative Suite of Practical Tasks RepEval WS

Neha Nayak | Gabor Angeli | Christopher D. Manning |

A large annotated corpus for learning natural language inference EMNLP

Samuel R. Bowman | Gabor Angeli | Christopher Potts | Christopher D. Manning |

Effective Approaches to Attention-based Neural Machine Translation EMNLP

Thang Luong | Hieu Pham | Christopher D. Manning |

Last Words: Computational Linguistics and Deep Learning CL

Christopher D. Manning |

Deep Neural Language Models for Machine Translation CoNLL

Thang Luong | Michael Kayser | Christopher D. Manning |

Distributed Representations of Words to Guide Bootstrapped Entity Classifiers NAACL

Sonal Gupta | Christopher D. Manning |

Text to 3D Scene Generation with Rich Lexical Grounding ACL IJCNLP

Leveraging Linguistic Structure For Open Domain Information Extraction ACL IJCNLP

Gabor Angeli | Melvin Jose Johnson Premkumar | Christopher D. Manning |

Robust Subgraph Generation Improves Abstract Meaning Representation Parsing ACL IJCNLP

Keenon Werling | Gabor Angeli | Christopher D. Manning |

Entity-Centric Coreference Resolution with Model Stacking ACL IJCNLP

Kevin Clark | Christopher D. Manning |

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks ACL IJCNLP

Kai Sheng Tai | Richard Socher | Christopher D. Manning |

Learning Distributed Representations for Multilingual Text Sequences LatentVar WS

Hieu Pham | Thang Luong | Christopher Manning |

Bilingual Word Representations with Monolingual Quality in Mind LatentVar WS

Thang Luong | Hieu Pham | Christopher D. Manning |

Invited Talk: The Case for Universal Dependencies DepLing WS

Christopher Manning |

Does Universal Dependencies need a parsing representation? An investigation of English DepLing WS

Natalia Silveira | Christopher Manning |

Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval VL WS

Recursive Neural Networks Can Learn Logical Semantics CVSC WS

Samuel R. Bowman | Christopher Potts | Christopher D. Manning |

NaturalLI: Natural Logic Inference for Common Sense Reasoning EMNLP

Gabor Angeli | Christopher D. Manning |

A Fast and Accurate Dependency Parser using Neural Networks EMNLP

Danqi Chen | Christopher Manning |

Human Effort and Machine Learnability in Computer Aided Translation EMNLP

evision PDF of 'Modeling Biological Processes for Reading Comprehension EMNLP

Glove: Global Vectors for Word Representation EMNLP

Jeffrey Pennington | Richard Socher | Christopher Manning |

Combining Distant and Partial Supervision for Relation Extraction EMNLP

Gabor Angeli | Julie Tibshirani | Jean Wu | Christopher D. Manning |

Learning Spatial Knowledge for Text to 3D Scene Generation EMNLP

Angel Chang | Manolis Savva | Christopher D. Manning |

Universal Stanford dependencies: A cross-linguistic typology LREC

A Gold Standard Dependency Corpus for English LREC

Event Extraction Using Distant Supervision LREC

Robust Logistic Regression using Shift Parameters ACL

Julie Tibshirani | Christopher D. Manning |

Faster Phrase-Based Decoding by Refining Feature State ACL

Kenneth Heafield | Michael Kayser | Christopher D. Manning |

Two Knives Cut Better Than One: Chinese Word Segmentation with Dual Decomposition ACL

Mengqiu Wang | Rob Voigt | Christopher D. Manning |

evision PDF of 'Word Segmentation of Informal Arabic with Domain Adaptation ACL

Will Monroe | Spence Green | Christopher D. Manning |

The Stanford CoreNLP Natural Language Processing Toolkit ACL

Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning TACL

Mengqiu Wang | Christopher D. Manning |

Grounded Compositional Semantics for Finding and Describing Images with Sentences TACL

Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC) CVSC WS

Improved Pattern Learning for Bootstrapped Entity Extraction CoNLL WS

Sonal Gupta | Christopher Manning |

Semantic Parsing for Text to 3D Scene Generation WS

Angel Chang | Manolis Savva | Christopher Manning |

Interactive Learning of Spatial Knowledge for Text to 3D Scene Generation WS

Angel Chang | Manolis Savva | Christopher Manning |

SPIED: Stanford Pattern based Information Extraction and Diagnostics WS

Sonal Gupta | Christopher Manning |

Phrasal: A Toolkit for New Directions in Statistical Machine Translation WMT WS

Spence Green | Daniel Cer | Christopher Manning |

Stanford University’s Submissions to the WMT 2014 Translation Task WMT WS

An Empirical Comparison of Features and Tuning for Phrase-based Machine Translation WMT WS

Spence Green | Daniel Cer | Christopher Manning |

Feature Noising for Log-Linear Structured Prediction EMNLP

Bilingual Word Embeddings for Phrase-Based Machine Translation EMNLP

Will Y. Zou | Richard Socher | Daniel Cer | Christopher D. Manning |

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank EMNLP

Learning Biological Processes with Global Constraints EMNLP

Learning a Product of Experts with Elitist Lasso IJCNLP

Mengqiu Wang | Christopher D. Manning |

Effect of Non-linear Deep Architecture in Sequence Labeling IJCNLP

Mengqiu Wang | Christopher D. Manning |

Parsing Models for Identifying Multiword Expressions CL

Spence Green | Marie-Catherine de Marneffe | Christopher D. Manning |

Named Entity Recognition with Bilingual Constraints NAACL

Wanxiang Che | Mengqiu Wang | Christopher D. Manning | Ting Liu |

Deep Learning for NLP (without Magic) NAACL

Richard Socher | Christopher D. Manning |

Fast and Adaptive Online Training of Feature-Rich Translation Models ACL

Spence Green | Sida Wang | Daniel Cer | Christopher D. Manning |

Parsing with Compositional Vector Grammars ACL

Richard Socher | John Bauer | Christopher D. Manning | Andrew Y. Ng |

Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition ACL

Mengqiu Wang | Wanxiang Che | Christopher D. Manning |

SUTime: Evaluation in TempEval-3 *SEMEVAL

Angel Chang | Christopher D. Manning |

Feature-Rich Phrase-based Translation: Stanford University’s Submission to the WMT 2013 Translation Task WMT WS

Positive Diversity Tuning for Machine Translation System Combination WMT WS

Daniel Cer | Christopher D. Manning | Dan Jurafsky |

Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality WS

Alexandre Allauzen | Hugo Larochelle | Christopher Manning | Richard Socher |

Better Word Representations with Recursive Neural Networks for Morphology CoNLL WS

Thang Luong | Richard Socher | Christopher Manning |

Philosophers are Mortal: Inferring the Truth of Unseen Facts CoNLL WS

Gabor Angeli | Christopher Manning |

More Constructions, More Genres: Extending Stanford Dependencies DepLing WS

Multi-instance Multi-label Learning for Relation Extraction CoNLL EMNLP

Mihai Surdeanu | Julie Tibshirani | Ramesh Nallapati | Christopher D. Manning |

Learning Constraints for Consistent Timeline Extraction CoNLL EMNLP

David McClosky | Christopher D. Manning |

Probabilistic Finite State Machines for Regression-based MT Evaluation CoNLL EMNLP

Mengqiu Wang | Christopher D. Manning |

Semantic Compositionality through Recursive Matrix-Vector Spaces CoNLL EMNLP

Richard Socher | Brody Huval | Christopher D. Manning | Andrew Y. Ng |

Did It Happen? The Pragmatic Complexity of Veridicality Assessment CL

Marie-Catherine de Marneffe | Christopher D. Manning | Christopher Potts |

SUTime: A library for recognizing and normalizing time expressions LREC

Angel X. Chang | Christopher Manning |

Entity Clustering Across Languages NAACL

Parsing Time: Learning to Interpret Time Expressions NAACL

Gabor Angeli | Christopher Manning | Daniel Jurafsky |

Improving Word Representations via Global Context and Multiple Word Prototypes ACL

Eric Huang | Richard Socher | Christopher Manning | Andrew Ng |

Baselines and Bigrams: Simple, Good Sentiment and Topic Classification ACL

Sida Wang | Christopher Manning |

Deep Learning for NLP (without Magic) ACL

Richard Socher | Yoshua Bengio | Christopher D. Manning |

SPEDE: Probabilistic Edit Distance Metrics for MT Evaluation WMT WS

Mengqiu Wang | Christopher Manning |

Accurate Unsupervised Joint Named-Entity Extraction from Unaligned Parallel Text WS

Robert Munro | Christopher D. Manning |

Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions EMNLP

Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French EMNLP

Spence Green | Marie-Catherine de Marneffe | John Bauer | Christopher D. Manning |

Analyzing the Dynamics of Research by Extracting Key Aspects of Scientific Papers IJCNLP

Sonal Gupta | Christopher Manning |

Event Extraction as Dependency Parsing ACL

David McClosky | Mihai Surdeanu | Christopher Manning |

Proceedings of the Fifteenth Conference on Computational Natural Language Learning CoNLL WS

Sharon Goldwater | Christopher Manning |

Customizing an Information Extraction System to a New Domain WS

Event Extraction as Dependency Parsing for BioNLP 2011 BioNLP WS

David McClosky | Mihai Surdeanu | Christopher Manning |

Model Combination for Event Extraction in BioNLP 2011 BioNLP WS

Better Arabic Parsing: Baselines, Evaluations, and Analysis COLING

Spence Green | Christopher D. Manning |

Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering COLING

Mengqiu Wang | Christopher Manning |

A Multi-Pass Sieve for Coreference Resolution EMNLP

Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy LREC

Daniel Cer | Marie-Catherine de Marneffe | Dan Jurafsky | Chris Manning |

Subword Variation in Text Message Classification NAACL

Robert Munro | Christopher D. Manning |

The Best Lexical Metric for Phrase-Based Statistical MT System Optimization NAACL

Daniel Cer | Christopher D. Manning | Daniel Jurafsky |

Ensemble Models for Dependency Parsing: Cheap and Good? NAACL

Mihai Surdeanu | Christopher D. Manning |

Improved Models of Distortion Cost for Statistical Machine Translation NAACL

Spence Green | Michel Galley | Christopher D. Manning |

Accurate Non-Hierarchical Phrase-Based Translation NAACL

Michel Galley | Christopher D. Manning |

Phrasal: A Statistical Machine Translation Toolkit for Exploring New Model Features NAACL

Daniel Cer | Michel Galley | Daniel Jurafsky | Christopher D. Manning |

“Was It Good? It Was Provocative.” Learning the Meaning of Scalar Adjectives ACL

Marie-Catherine de Marneffe | Christopher D. Manning | Christopher Potts |

Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data ACL

Jenny Rose Finkel | Christopher D. Manning |

Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading WS

Viterbi Training Improves Unsupervised Dependency Parsing CoNLL WS

Valentin I. Spitkovsky | Hiyan Alshawi | Daniel Jurafsky | Christopher D. Manning |

Nested Named Entity Recognition EMNLP

Jenny Rose Finkel | Christopher D. Manning |

Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora EMNLP

Daniel Ramage | David Hall | Ramesh Nallapati | Christopher D. Manning |

Joint Parsing and Named Entity Recognition NAACL

Jenny Rose Finkel | Christopher D. Manning |

Hierarchical Bayesian Domain Adaptation NAACL

Jenny Rose Finkel | Christopher D. Manning |

Robust Machine Translation Evaluation with Entailment Features ACL IJCNLP

Sebastian Padó | Michel Galley | Dan Jurafsky | Christopher D. Manning |

Quadratic-Time Dependency Parsing for Machine Translation ACL IJCNLP

Michel Galley | Christopher D. Manning |

Machine Translation Evaluation with Textual Entailment Features WMT WS

Sebastian Padó | Michel Galley | Daniel Jurafsky | Christopher D. Manning |

Disambiguating “DE” for Chinese-English Machine Translation WMT WS

Pi-Chuan Chang | Daniel Jurafsky | Christopher D. Manning |

Discriminative Reordering with Chinese Grammatical Relations Features SSST WS

Pi-Chuan Chang | Huihsin Tseng | Dan Jurafsky | Christopher D. Manning |

Proceedings of the 2009 Workshop on Applied Textual Inference (TextInfer) WS

Multi-word expressions in textual inference: Much ado about nothing? WS

Marie-Catherine de Marneffe | Sebastian Padó | Christopher D. Manning |

Presupposed Content and Entailments in Natural Language Inference WS

David Clausen | Christopher D. Manning |

Random Walks for Text Semantic Similarity WS

Daniel Ramage | Anna N. Rafferty | Christopher D. Manning |

WikiWalk: Random walks on Wikipedia for Semantic Relatedness WS

An extended model of natural logic IWCS WS

Bill MacCartney | Christopher D. Manning |

Modeling Semantic Containment and Exclusion in Natural Language Inference COLING

Bill MacCartney | Christopher D. Manning |

Studying the History of Ideas Using Topic Models EMNLP

David Hall | Daniel Jurafsky | Christopher D. Manning |

Legal Docket Classification: Where Machine Learning Stumbles EMNLP

Ramesh Nallapati | Christopher D. Manning |

A Phrase-Based Alignment Model for Natural Language Inference EMNLP

Bill MacCartney | Michel Galley | Christopher D. Manning |

A Simple and Effective Hierarchical Phrase Reordering Model EMNLP

Michel Galley | Christopher D. Manning |

A Global Joint Model for Semantic Role Labeling CL

Kristina Toutanova | Aria Haghighi | Christopher D. Manning |

Lexicon Schemas and Related Data Models: when Standards Meet Users LREC

Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates ACL

Sharon Goldwater | Dan Jurafsky | Christopher D. Manning |

Efficient, Feature-based, Conditional Random Field Parsing ACL

Jenny Rose Finkel | Alex Kleeman | Christopher D. Manning |

Finding Contradictions in Text ACL

Marie-Catherine de Marneffe | Anna N. Rafferty | Christopher D. Manning |

Enforcing Transitivity in Coreference Resolution ACL

Jenny Rose Finkel | Christopher D. Manning |

Regularization and Search for Minimum Error Rate Training WMT WS

Daniel Cer | Dan Jurafsky | Christopher D. Manning |

Optimizing Chinese Word Segmentation for Machine Translation Performance WMT WS

Pi-Chuan Chang | Michel Galley | Christopher D. Manning |

Parsing Three German Treebanks: Lexicalized and Unlexicalized Baselines WS

Anna Rafferty | Christopher D. Manning |

Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation WS