← Authors

Michael Collins

75 papers · 2000–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (43) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (25) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (24) 🧬 Topic Evolution πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (99) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (75) πŸ”₯ Unstoppable (22) ❓ The Questioner

Conferences

EMNLP (24) ACL (21) NAACL (9) CONLL (7) IJCNLP (4) JMLR (3) EACL (2) ICML (2) NIPS (2) ICLR (1)

Top co-authors

Terry Koo (8) Karl Stratos (7) Shay B. Cohen (7) Xavier Carreras (7) Lyle Ungar (6) Chris Alberti (6) Amir Globerson (5) Alexander M. Rush (5) Andrei Simion (4) Yin-Wen Chang (4)

Keywords

question answering (3) acoustic modeling (2) low-resource language (2) natural language inference (2) object detection (2) visual question answering (2) multimodal learning (2) probabilistic context-free grammar (2) speech recognition (2) latent variable (2) tensor decomposition (2) cross-lingual transfer (2) prompt engineering (1) annotation projection (1) structured prediction (1) entity linking (1) parameter estimation (1) dependency parsing (1) language modeling (1) answer extraction (1)

Papers

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