Michael Collins

InfAlign: Inference-aware language model alignment ICML 2025 Controlled Decoding from Language Models ICML 2024 Learning to Reject with a Fixed Predictor: Application to Decontextualization ICLR 2024 A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains ACL 2024 Query Refinement Prompts for Closed-Book Long-Form QA ACL 2023 A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation ACL 2022 Investigating the Effect of Background Knowledge on Natural Questions NAACL 2021 Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios EMNLP 2020 Kernel Approximation Methods for Speech Recognition JMLR 2019 Low-Resource Syntactic Transfer with Unsupervised Source Reordering NAACL 2019 BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions NAACL 2019 Fusion of Detected Objects in Text for Visual Question Answering EMNLP 2019 Synthetic QA Corpora Generation with Roundtrip Consistency ACL 2019 Fusion of Detected Objects in Text for Visual Question Answering IJCNLP 2019 Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency EMNLP 2018 Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms EMNLP 2017 Towards a Convex HMM Surrogate for Word Alignment EMNLP 2016 Globally Normalized Transition-Based Neural Networks ACL 2016 Model-based Word Embeddings from Decompositions of Count Matrices ACL 2015 On A Strictly Convex IBM Model 1 EMNLP 2015 Model-based Word Embeddings from Decompositions of Count Matrices IJCNLP 2015 Structured Training for Neural Network Transition-Based Parsing IJCNLP 2015 Structured Training for Neural Network Transition-Based Parsing ACL 2015 Density-Driven Cross-Lingual Transfer of Dependency Parsers EMNLP 2015 Learning Dictionaries for Named Entity Recognition using Minimal Supervision EACL 2014 Some Experiments with a Convex IBM Model 2 EACL 2014 Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity JMLR 2014 A Provably Correct Learning Algorithm for Latent-Variable PCFGs ACL 2014 A Constrained Viterbi Relaxation for Bidirectional Word Alignment ACL 2014 Optimal Beam Search for Machine Translation EMNLP 2013 A Convex Alternative to IBM Model 2 EMNLP 2013 Experiments with Spectral Learning of Latent-Variable PCFGs NAACL 2013 Approximate PCFG Parsing Using Tensor Decomposition NAACL 2013 Spectral Learning of Refinement HMMs CONLL 2013 Spectral Learning Algorithms for Natural Language Processing NAACL 2013 Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints CONLL 2012 Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs NIPS 2012 Spectral Learning of Latent-Variable PCFGs ACL 2012 Spectral Dependency Parsing with Latent Variables CONLL 2012 Spectral Dependency Parsing with Latent Variables EMNLP 2012 Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints EMNLP 2012 Dual Decomposition for Natural Language Processing ACL 2011 Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation EMNLP 2011 Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation ACL 2011 On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing EMNLP 2010 Dual Decomposition for Parsing with Non-Projective Head Automata EMNLP 2010 Efficient Third-Order Dependency Parsers ACL 2010 An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing EMNLP 2009 Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NIPS 2009 Learning Context-Dependent Mappings from Sentences to Logical Form IJCNLP 2009 Learning Context-Dependent Mappings from Sentences to Logical Form ACL 2009 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics NAACL 2009 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers NAACL 2009 Non-Projective Parsing for Statistical Machine Translation EMNLP 2009 TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing CONLL 2008 Simple Semi-supervised Dependency Parsing ACL 2008 Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks JMLR 2008 Online Learning of Relaxed CCG Grammars for Parsing to Logical Form CONLL 2007 Structured Prediction Models via the Matrix-Tree Theorem CONLL 2007 Online Learning of Relaxed CCG Grammars for Parsing to Logical Form EMNLP 2007 Chinese Syntactic Reordering for Statistical Machine Translation EMNLP 2007 Structured Prediction Models via the Matrix-Tree Theorem EMNLP 2007 Chinese Syntactic Reordering for Statistical Machine Translation CONLL 2007 A Discriminative Model for Tree-to-Tree Translation EMNLP 2006 Morphology and Reranking for the Statistical Parsing of Spanish EMNLP 2005 Clause Restructuring for Statistical Machine Translation ACL 2005 Hidden-Variable Models for Discriminative Reranking EMNLP 2005 Discriminative Syntactic Language Modeling for Speech Recognition ACL 2005 Incremental Parsing with the Perceptron Algorithm ACL 2004 Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm ACL 2004 Max-Margin Parsing EMNLP 2004 Ranking Algorithms for Named Entity Extraction: Boosting and the VotedPerceptron ACL 2002 New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron ACL 2002 Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms EMNLP 2002 Answer Extraction NAACL 2000