← Authors

Chris Dyer

143 papers · 2007–2022 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (15) 🏠 Conference Loyalist (29) 🌟 Keyword Trendsetter Combo (10) 🐺 Lone Wolf (3) 🀝 Dynamic Duo (36) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (4) πŸš€ Conference Pioneer ⚑ Prolific Year (6) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (211) πŸ’Ž Century Club (143) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (14)

Conferences

ACL (39) EMNLP (29) NAACL (27) IJCNLP (15) CONLL (7) COLING (5) EACL (5) NIPS (5) ICLR (4) SEMEVAL (3) ICML (2) INTERSPEECH (2)

Top co-authors

Noah A. Smith (36) Phil Blunsom (21) Wang Ling (17) Manaal Faruqui (14) Yulia Tsvetkov (13) Miguel Ballesteros (10) Adhiguna Kuncoro (10) Dani Yogatama (10) Jaime Carbonell (9) Nathan Schneider (8)

Keywords

language model (6) unsupervised learning (5) neural network (5) latent variable (4) recurrent neural network (4) syntactic parsing (4) recurrent neural network grammar (4) language modeling (4) document translation (3) named entity recognition (3) machine translation (3) syntactic structure (3) variational inference (2) text classification (2) generative model (2) representation learning (2) adversarial robustness (2) grammar induction (2) coreference resolution (2) knowledge distillation (2)

Papers

Enabling Arbitrary Translation Objectives with Adaptive Tree Search ICLR 2022
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings ICLR 2022
Better Chinese Sentence Segmentation with Reinforcement Learning ACL 2021
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering NIPS 2021
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index NAACL 2021
Better Chinese Sentence Segmentation with Reinforcement Learning IJCNLP 2021
Diverse Pretrained Context Encodings Improve Document Translation IJCNLP 2021
Diverse Pretrained Context Encodings Improve Document Translation ACL 2021
Learning Robust and Multilingual Speech Representations EMNLP 2020
The DeepMind Chinese–English Document Translation System at WMT2020 EMNLP 2020
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing ACL 2020
Learning to Segment Actions from Observation and Narration ACL 2020
Text Genre and Training Data Size in Human-like Parsing IJCNLP 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation IJCNLP 2019
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search NAACL 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation ACL 2019
Learning to Discover, Ground and Use Words with Segmental Neural Language Models ACL 2019
Text Genre and Training Data Size in Human-like Parsing EMNLP 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation EMNLP 2019
Comparing Top-Down and Bottom-Up Neural Generative Dependency Models CONLL 2019
Compound Probabilistic Context-Free Grammars for Grammar Induction ACL 2019
Unsupervised Recurrent Neural Network Grammars NAACL 2019
Using Morphological Knowledge in Open-Vocabulary Neural Language Models NAACL 2018
Syntactic Scaffolds for Semantic Structures EMNLP 2018
Neural Arithmetic Logic Units NIPS 2018
Unsupervised Text Style Transfer using Language Models as Discriminators NIPS 2018
Fast Parametric Learning with Activation Memorization ICML 2018
On the State of the Art of Evaluation in Neural Language Models ICLR 2018
Memory Architectures in Recurrent Neural Network Language Models ICLR 2018
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better ACL 2018
Finding syntax in human encephalography with beam search ACL 2018
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ACL 2017
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling ACL 2017
Differentiable Scheduled Sampling for Credit Assignment ACL 2017
Reference-Aware Language Models EMNLP 2017
Neural Machine Translation with Recurrent Attention Modeling EACL 2017
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL 2017
Multitask Learning with CTC and Segmental CRF for Speech Recognition INTERSPEECH 2017
On-the-fly Operation Batching in Dynamic Computation Graphs NIPS 2017
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment ACL 2017
Should Neural Network Architecture Reflect Linguistic Structure? CONLL 2017
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss SEMEVAL 2016
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ACL 2016
Synthesizing Compound Words for Machine Translation ACL 2016
Cross-lingual Models of Word Embeddings: An Empirical Comparison ACL 2016
The Role of Context in Neural Morphological Disambiguation COLING 2016
Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik COLING 2016
PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors COLING 2016
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs CONLL 2016
Semantic Parsing with Semi-Supervised Sequential Autoencoders EMNLP 2016
Generalizing and Hybridizing Count-based and Neural Language Models EMNLP 2016
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings EMNLP 2016
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser EMNLP 2016
Character Sequence Models for Colorful Words EMNLP 2016
Training with Exploration Improves a Greedy Stack LSTM Parser EMNLP 2016
Transition-Based Dependency Parsing with Heuristic Backtracking EMNLP 2016
Practical Neural Networks for NLP: From Theory to Code EMNLP 2016
Segmental Recurrent Neural Networks for End-to-End Speech Recognition INTERSPEECH 2016
Recurrent Neural Network Grammars NAACL 2016
Neural Architectures for Named Entity Recognition NAACL 2016
Morphological Inflection Generation Using Character Sequence to Sequence Learning NAACL 2016
Generation from Abstract Meaning Representation using Tree Transducers NAACL 2016
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model NAACL 2016
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning NAACL 2016
Hierarchical Attention Networks for Document Classification NAACL 2016
Retrofitting Word Vectors to Semantic Lexicons NAACL 2015
Learning Word Representations with Hierarchical Sparse Coding ICML 2015
Frame-Semantic Role Labeling with Heterogeneous Annotations ACL 2015
Automatic Keyword Extraction on Twitter ACL 2015
Two/Too Simple Adaptations of Word2Vec for Syntax Problems NAACL 2015
A Supertag-Context Model for Weakly-Supervised CCG Parser Learning CONLL 2015
Transition-Based Dependency Parsing with Stack Long Short-Term Memory IJCNLP 2015
Gaussian LDA for Topic Models with Word Embeddings IJCNLP 2015
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment IJCNLP 2015
Sparse Overcomplete Word Vector Representations IJCNLP 2015
Lexicon Stratification for Translating Out-of-Vocabulary Words IJCNLP 2015
Frame-Semantic Role Labeling with Heterogeneous Annotations IJCNLP 2015
Non-distributional Word Vector Representations IJCNLP 2015
Automatic Keyword Extraction on Twitter IJCNLP 2015
Non-distributional Word Vector Representations ACL 2015
Constraint-Based Models of Lexical Borrowing NAACL 2015
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models NAACL 2015
Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs EMNLP 2015
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention EMNLP 2015
Lexicon Stratification for Translating Out-of-Vocabulary Words ACL 2015
Sparse Overcomplete Word Vector Representations ACL 2015
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment ACL 2015
Gaussian LDA for Topic Models with Word Embeddings ACL 2015
Transition-Based Dependency Parsing with Stack Long Short-Term Memory ACL 2015
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation EMNLP 2015
Evaluation of Word Vector Representations by Subspace Alignment EMNLP 2015
Humor Recognition and Humor Anchor Extraction EMNLP 2015
Unsupervised POS Induction with Word Embeddings NAACL 2015
Distributed Representations of Geographically Situated Language ACL 2014
Conditional Random Field Autoencoders for Unsupervised Structured Prediction NIPS 2014
Automatic Classification of Communicative Functions of Definiteness COLING 2014
Latent-Variable Synchronous CFGs for Hierarchical Translation EMNLP 2014
Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation EACL 2014
Improving Vector Space Word Representations Using Multilingual Correlation EACL 2014
Learning from Post-Editing: Online Model Adaptation for Statistical Machine Translation EACL 2014
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing SEMEVAL 2014
Simplified Dependency Annotations with GFL-Web ACL 2014
Community Evaluation and Exchange of Word Vectors at wordvectors.org ACL 2014
Weakly-Supervised Bayesian Learning of a CCG Supertagger CONLL 2014
A Discriminative Graph-Based Parser for the Abstract Meaning Representation ACL 2014
Metaphor Detection with Cross-Lingual Model Transfer ACL 2014
A Dependency Parser for Tweets EMNLP 2014
Language Modeling with Power Low Rank Ensembles EMNLP 2014
Paraphrasing 4 Microblog Normalization EMNLP 2013
Translating into Morphologically Rich Languages with Synthetic Phrases EMNLP 2013
Discrete Log-Linear Autoencoders for Unsupervised Learning of Linguistic Structure EMNLP 2013
An Information Theoretic Approach to Bilingual Word Clustering ACL 2013
Microblogs as Parallel Corpora ACL 2013
Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search NAACL 2013
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters NAACL 2013
A Simple, Fast, and Effective Reparameterization of IBM Model 2 NAACL 2013
Supersense Tagging for Arabic: the MT-in-the-Middle Attack NAACL 2013
Knowledge-Rich Morphological Priors for Bayesian Language Models NAACL 2013
Proceedings of the 2013 NAACL HLT Demonstration Session NAACL 2013
A Systematic Exploration of Diversity in Machine Translation EMNLP 2013
A Bayesian Model for Learning SCFGs with Discontiguous Rules EMNLP 2012
Learning Semantics and Selectional Preference of Adjective-Noun Pairs SEMEVAL 2012
A Bayesian Model for Learning SCFGs with Discontiguous Rules CONLL 2012
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT ACL 2012
Bayesian Language Modelling of German Compounds COLING 2012
Predicting a Scientific Community’s Response to an Article EMNLP 2011
Unsupervised Word Alignment with Arbitrary Features ACL 2011
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability ACL 2011
Two monolingual parses are better than one (synchronous parse) NAACL 2010
Data-Intensive Text Processing with MapReduce NAACL 2010
cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models ACL 2010
Context-free reordering, finite-state translation NAACL 2010
Discriminative Word Alignment with a Function Word Reordering Model EMNLP 2010
A Gibbs Sampler for Phrasal Synchronous Grammar Induction ACL 2009
Monte Carlo inference and maximization for phrase-based translation CONLL 2009
Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation IJCNLP 2009
A Gibbs Sampler for Phrasal Synchronous Grammar Induction IJCNLP 2009
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices IJCNLP 2009
Using a maximum entropy model to build segmentation lattices for MT NAACL 2009
Data Intensive Text Processing with MapReduce NAACL 2009
Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation ACL 2009
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices ACL 2009
Moses: Open Source Toolkit for Statistical Machine Translation ACL 2007