Michael Collins

161 papers A* 37A 8B 2Misc 4Journal 64Unranked 46

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	InfAlign: Inference-aware language model alignment. ICML Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami
2024	—	`conf`	A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. ACL (1) Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva
2024	J	`jnl`	A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. CoRR Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva
2024	J	`jnl`	InfAlign: Inference-aware language model alignment. CoRR Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami
2024	A*	`conf`	Learning to Reject with a Fixed Predictor: Application to Decontextualization. ICLR Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong
2024	J	`jnl`	Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation. CoRR Bernd Bohnet, Kevin Swersky, Rosanne Liu, Pranjal Awasthi, Azade Nova, Javier Snaider, Hanie Sedghi, Aaron T. Parisi, Michael Collins, Angeliki Lazaridou, Orhan Firat, Noah Fiedel
2023	J	`jnl`	Coreference Resolution through a seq2seq Transition-Based System. Trans. Assoc. Comput. Linguistics Bernd Bohnet, Chris Alberti, Michael Collins
2023	J	`jnl`	Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization. Trans. Assoc. Comput. Linguistics Thomas Effland, Michael Collins
2023	J	`jnl`	Learning to Reject with a Fixed Predictor: Application to Decontextualization. CoRR Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins
2023	J	`jnl`	Measuring Attribution in Natural Language Generation Models. Comput. Linguistics Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Lora Aroyo, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter
2023	—	`conf`	Query Refinement Prompts for Closed-Book Long-Form QA. ACL (1) Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan
2022	—	`conf`	A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. ACL (1) Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata
2022	J	`jnl`	A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. CoRR Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata
2022	J	`jnl`	Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster
2022	J	`jnl`	Coreference Resolution through a seq2seq Transition-Based System. CoRR Bernd Bohnet, Chris Alberti, Michael Collins
2022	J	`jnl`	Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? Trans. Assoc. Comput. Linguistics Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen
2022	J	`jnl`	Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model. CoRR Jacob Eisenstein, Daniel Andor, Bernd Bohnet, Michael Collins, David Mimno
2022	J	`jnl`	Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization. CoRR Thomas Effland, Michael Collins
2022	J	`jnl`	Query Refinement Prompts for Closed-Book Long-Form Question Answering. CoRR Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan
2022	J	`jnl`	Towards Computationally Verifiable Semantic Grounding for Language Models. CoRR Chris Alberti, Kuzman Ganchev, Michael Collins, Sebastian Gehrmann, Ciprian Chelba
2021	J	`jnl`	Decontextualization: Making Sentences Stand-Alone. CoRR Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins
2021	J	`jnl`	Decontextualization: Making Sentences Stand-Alone. Trans. Assoc. Comput. Linguistics Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins
2021	—	`conf`	Investigating the Effect of Background Knowledge on Natural Questions. DeeLIO@NAACL-HLT Vidhisha Balachandran, Bhuwan Dhingra, Haitian Sun, Michael Collins, William W. Cohen
2021	J	`jnl`	Measuring Attribution in Natural Language Generation Models. CoRR Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2021	J	`jnl`	Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss. CoRR Thomas Effland, Michael Collins
2021	J	`jnl`	Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss. Trans. Assoc. Comput. Linguistics Thomas Effland, Michael Collins
2021	J	`jnl`	QED: A Framework and Dataset for Explanations in Question Answering. Trans. Assoc. Comput. Linguistics Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins
2021	J	`jnl`	Sparse, Dense, and Attentional Representations for Text Retrieval. Trans. Assoc. Comput. Linguistics Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins
2020	J	`jnl`	Evaluating Explanations: How much do explanations from the teacher aid students? CoRR Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2020	J	`jnl`	QED: A Framework and Dataset for Explanations in Question Answering. CoRR Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins
2020	J	`jnl`	Sparse, Dense, and Attentional Representations for Text Retrieval. CoRR Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins
2020	J	`jnl`	TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. CoRR Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki
2020	J	`jnl`	TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. Trans. Assoc. Comput. Linguistics Jonathan H. Clark, Jennimaria Palomaki, Vitaly Nikolaev, Eunsol Choi, Dan Garrette, Michael Collins, Tom Kwiatkowski
2019	J	`jnl`	A BERT Baseline for the Natural Questions. CoRR Chris Alberti, Kenton Lee, Michael Collins
2019	—	`conf`	BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. NAACL-HLT (1) Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova
2019	J	`jnl`	BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. CoRR Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova
2019	—	`conf`	Fusion of Detected Objects in Text for Visual Question Answering. EMNLP/IJCNLP (1) Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter
2019	J	`jnl`	Fusion of Detected Objects in Text for Visual Question Answering. CoRR Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter
2019	J	`jnl`	Kernel Approximation Methods for Speech Recognition. J. Mach. Learn. Res. Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha
2019	—	`conf`	Low-Resource Syntactic Transfer with Unsupervised Source Reordering. NAACL-HLT (1) Mohammad Sadegh Rasooli, Michael Collins
2019	J	`jnl`	Low-Resource Syntactic Transfer with Unsupervised Source Reordering. CoRR Mohammad Sadegh Rasooli, Michael Collins
2019	J	`jnl`	Natural Questions: a Benchmark for Question Answering Research. Trans. Assoc. Comput. Linguistics Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur P. Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov
2019	—	`conf`	Synthetic QA Corpora Generation with Roundtrip Consistency. ACL (1) Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins
2019	J	`jnl`	Synthetic QA Corpora Generation with Roundtrip Consistency. CoRR Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins
2018	J	`jnl`	Improving Span-based Question Answering Systems with Coarsely Labeled Data. CoRR Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova
2017	J	`jnl`	A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit. Trans. Assoc. Comput. Linguistics Yin-Wen Chang, Michael Collins
2017	J	`jnl`	Cross-Lingual Syntactic Transfer with Limited Resources. Trans. Assoc. Comput. Linguistics Mohammad Sadegh Rasooli, Michael Collins
2017	J	`jnl`	Kernel Approximation Methods for Speech Recognition. CoRR Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel J. Hsu, Brian Kingsbury, Michael Picheny, Fei Sha
2017	A*	`conf`	Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms. EMNLP Yin-Wen Chang, Michael Collins
2017	J	`jnl`	SyntaxNet Models for the CoNLL 2017 Shared Task. CoRR Chris Alberti, Daniel Andor, Ivan Bogatyy, Michael Collins, Dan Gillick, Lingpeng Kong, Terry Koo, Ji Ma, Mark Omernick, Slav Petrov, Chayut Thanapirom, Zora Tung, David Weiss
2016	J	`jnl`	A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. CoRR Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016	Misc	`conf`	A comparison between deep neural nets and kernel acoustic models for speech recognition. ICASSP Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016	Misc	`conf`	Compact kernel models for acoustic modeling via random feature selection. ICASSP Avner May, Michael Collins, Daniel J. Hsu, Brian Kingsbury
2016	J	`jnl`	Cross-Lingual Syntactic Transfer with Limited Resources. CoRR Mohammad Sadegh Rasooli, Michael Collins
2016	—	`conf`	Globally Normalized Transition-Based Neural Networks. ACL (1) Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins
2016	J	`jnl`	Globally Normalized Transition-Based Neural Networks. CoRR Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins
2016	J	`jnl`	Predicting the impact of scientific concepts using full-text features. J. Assoc. Inf. Sci. Technol. Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos, Kapil Thadani, Pablo Barrio, Or Biran, Suvarna Bothe, Michael Collins, Kenneth R. Fleischmann, Luis Gravano, Rahul Jha, Ben King, Kevin McInerney, Taesun Moon, Arvind Neelakantan, Diarmuid Ó Séaghdha, Dragomir R. Radev, Thomas Clay Templeton, Simone Teufel
2016	A*	`conf`	Towards a Convex HMM Surrogate for Word Alignment. EMNLP Andrei Simion, Michael Collins, Cliff Stein
2016	J	`jnl`	Transforming Dependency Structures to Logical Forms for Semantic Parsing. Trans. Assoc. Comput. Linguistics Siva Reddy, Oscar Täckström, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, Mirella Lapata
2016	J	`jnl`	Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models. Trans. Assoc. Comput. Linguistics Karl Stratos, Michael Collins, Daniel J. Hsu
2015	A*	`conf`	A Family of Latent Variable Convex Relaxations for IBM Model 2. AAAI Andrei Arsene Simion, Michael Collins, Cliff Stein
2015	A*	`conf`	Density-Driven Cross-Lingual Transfer of Dependency Parsers. EMNLP Mohammad Sadegh Rasooli, Michael Collins
2015	J	`jnl`	Learning Dictionaries for Named Entity Recognition using Minimal Supervision. CoRR Arvind Neelakantan, Michael Collins
2015	—	`conf`	Model-based Word Embeddings from Decompositions of Count Matrices. ACL (1) Karl Stratos, Michael Collins, Daniel J. Hsu
2015	A*	`conf`	On A Strictly Convex IBM Model 1. EMNLP Andrei Simion, Michael Collins, Cliff Stein
2015	—	`conf`	Simple Semi-Supervised POS Tagging. VS@HLT-NAACL Karl Stratos, Michael Collins
2015	—	`conf`	Structured Training for Neural Network Transition-Based Parsing. ACL (1) David Weiss, Chris Alberti, Michael Collins, Slav Petrov
2015	J	`jnl`	Structured Training for Neural Network Transition-Based Parsing. CoRR David Weiss, Chris Alberti, Michael Collins, Slav Petrov
2014	—	`conf`	A Constrained Viterbi Relaxation for Bidirectional Word Alignment. ACL (1) Yin-Wen Chang, Alexander M. Rush, John DeNero, Michael Collins
2014	—	`conf`	A Provably Correct Learning Algorithm for Latent-Variable PCFGs. ACL (1) Shay B. Cohen, Michael Collins
2014	A	`conf`	A Spectral Algorithm for Learning Class-Based n-gram Models of Natural Language. UAI Karl Stratos, Do-kyum Kim, Michael Collins, Daniel J. Hsu
2014	J	`jnl`	A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing. CoRR Alexander M. Rush, Michael Collins
2014	J	`jnl`	How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. CoRR Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2014	A	`conf`	Learning Dictionaries for Named Entity Recognition using Minimal Supervision. EACL Arvind Neelakantan, Michael Collins
2014	—	`conf`	Modeling Weather Impact on a Secondary Electrical Grid. ANT/SEIT Dingquan Wang, Rebecca J. Passonneau, Michael Collins, Cynthia Rudin
2014	A	`conf`	Some Experiments with a Convex IBM Model 2. EACL Andrei Simion, Michael Collins, Cliff Stein
2014	J	`jnl`	Spectral learning of latent-variable PCFGs: algorithms and sample complexity. J. Mach. Learn. Res. Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar
2013	A*	`conf`	A Convex Alternative to IBM Model 2. EMNLP Andrei Simion, Michael Collins, Cliff Stein
2013	—	`conf`	Approximate PCFG Parsing Using Tensor Decomposition. HLT-NAACL Shay B. Cohen, Giorgio Satta, Michael Collins
2013	—	`conf`	Experiments with Spectral Learning of Latent-Variable PCFGs. HLT-NAACL Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar
2013	A*	`conf`	Optimal Beam Search for Machine Translation. EMNLP Alexander M. Rush, Yin-Wen Chang, Michael Collins
2013	—	`conf`	Spectral Learning Algorithms for Natural Language Processing. HLT-NAACL Shay B. Cohen, Michael Collins, Dean P. Foster, Karl Stratos, Lyle H. Ungar
2013	B	`conf`	Spectral Learning of Refinement HMMs. CoNLL Karl Stratos, Alexander M. Rush, Shay B. Cohen, Michael Collins
2012	J	`jnl`	A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing. J. Artif. Intell. Res. Alexander M. Rush, Michael Collins
2012	J	`jnl`	Case-Factor Diagrams for Structured Probabilistic Modeling CoRR David A. McAllester, Michael Collins, Fernando Pereira
2012	—	`conf`	Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints. EMNLP-CoNLL Alexander M. Rush, Roi Reichart, Michael Collins, Amir Globerson
2012	J	`jnl`	Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars CoRR Luke S. Zettlemoyer, Michael Collins
2012	—	`conf`	Spectral Dependency Parsing with Latent Variables. EMNLP-CoNLL Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar
2012	—	`conf`	Spectral Learning of Latent-Variable PCFGs. ACL (1) Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar
2012	—	`conf`	Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs. NIPS Shay B. Cohen, Michael Collins
2011	—	`conf`	Dual Decomposition for Natural Language Processing. ACL (Tutorial Abstracts) Michael Collins, Alexander M. Rush
2011	A*	`conf`	Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation. EMNLP Yin-Wen Chang, Michael Collins
2011	A*	`conf`	Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation. ACL Alexander M. Rush, Michael Collins
2011	—	`conf`	Lagrangian Relaxation for Inference in Natural Language Processing. IWPT Michael Collins
2010	A	`conf`	Dialect recognition using a phone-GMM-supervector-based SVM kernel. INTERSPEECH Fadi Biadsy, Julia Hirschberg, Michael Collins
2010	A*	`conf`	Dual Decomposition for Parsing with Non-Projective Head Automata. EMNLP Terry Koo, Alexander M. Rush, Michael Collins, Tommi S. Jaakkola, David A. Sontag
2010	A*	`conf`	Efficient Third-Order Dependency Parsers. ACL Terry Koo, Michael Collins
2010	A	`conf`	Maximum Margin Ranking Algorithms for Information Retrieval. ECIR Shivani Agarwal, Michael Collins
2010	A*	`conf`	On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing. EMNLP Alexander M. Rush, David A. Sontag, Michael Collins, Tommi S. Jaakkola
2009	A*	`conf`	An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing. EMNLP Jun Suzuki, Hideki Isozaki, Xavier Carreras, Michael Collins
2009	A*	`conf`	An efficient projection for ICML Ariadna Quattoni, Xavier Carreras, Michael Collins, Trevor Darrell
2009	—	`conf`	Learning Context-Dependent Mappings from Sentences to Logical Form. ACL/IJCNLP Luke Zettlemoyer, Michael Collins
2009	—	`conf`	Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition. NIPS Natasha Singh-Miller, Michael Collins
2009	A*	`conf`	Non-Projective Parsing for Statistical Machine Translation. EMNLP Xavier Carreras, Michael Collins
2008	J	`jnl`	Case-factor diagrams for structured probabilistic modeling. J. Comput. Syst. Sci. David A. McAllester, Michael Collins, Fernando Pereira
2008	J	`jnl`	Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks. J. Mach. Learn. Res. Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras, Peter L. Bartlett
2008	A*	`conf`	Simple Semi-supervised Dependency Parsing. ACL Terry Koo, Xavier Carreras, Michael Collins
2008	—	`conf`	Syntactic Reordering in Preprocessing for Japanese → English Translation: MIT System Description for NTCIR-7 Patent Translation Task. NTCIR Jason Katz-Brown, Michael Collins
2008	B	`conf`	TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing. CoNLL Xavier Carreras, Michael Collins, Terry Koo
2008	A*	`conf`	Transfer learning for image classification with sparse prototype representations. CVPR Ariadna Quattoni, Michael Collins, Trevor Darrell
2007	—	`conf`	Chinese Syntactic Reordering for Statistical Machine Translation. EMNLP-CoNLL Chao Wang, Michael Collins, Philipp Koehn
2007	A	`conf`	Dimensionality reduction for speech recognition using neighborhood components analysis. INTERSPEECH Natasha Singh-Miller, Michael Collins, Timothy J. Hazen
2007	J	`jnl`	Discriminative n-gram language modeling. Comput. Speech Lang. Brian Roark, Murat Saraclar, Michael Collins
2007	A*	`conf`	Exponentiated gradient algorithms for log-linear structured prediction. ICML Amir Globerson, Terry Koo, Xavier Carreras, Michael Collins
2007	J	`jnl`	Hidden Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. Ariadna Quattoni, Sy Bor Wang, Louis-Philippe Morency, Michael Collins, Trevor Darrell
2007	A*	`conf`	Learning Visual Representations using Images with Captions. CVPR Ariadna Quattoni, Michael Collins, Trevor Darrell
2007	—	`conf`	Online Learning of Relaxed CCG Grammars for Parsing to Logical Form. EMNLP-CoNLL Luke Zettlemoyer, Michael Collins
2007	—	`conf`	Structured Prediction Models via the Matrix-Tree Theorem. EMNLP-CoNLL Terry Koo, Amir Globerson, Xavier Carreras, Michael Collins
2007	—	`conf`	Trigger-Based Language Modeling using a Loss-Sensitive Perceptron Algorithm. ICASSP (4) Natasha Singh-Miller, Michael Collins
2006	A*	`conf`	A Discriminative Model for Tree-to-Tree Translation. EMNLP Brooke Cowan, Ivona Kucerova, Michael Collins
2005	A*	`conf`	Clause Restructuring for Statistical Machine Translation. ACL Michael Collins, Philipp Koehn, Ivona Kucerova
2005	J	`jnl`	Discriminative Reranking for Natural Language Parsing. Comput. Linguistics Michael Collins, Terry Koo
2005	A*	`conf`	Discriminative Syntactic Language Modeling for Speech Recognition. ACL Michael Collins, Brian Roark, Murat Saraclar
2005	—	`conf`	Hidden-Variable Models for Discriminative Reranking. HLT/EMNLP Terry Koo, Michael Collins
2005	A	`conf`	Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars. UAI Luke S. Zettlemoyer, Michael Collins
2005	—	`conf`	Morphology and Reranking for the Statistical Parsing of Spanish. HLT/EMNLP Brooke Cowan, Michael Collins
2004	A	`conf`	Case-Factor Diagrams for Structured Probabilistic Modeling. UAI David A. McAllester, Michael Collins, Fernando Pereira
2004	—	`conf`	Conditional Random Fields for Object Recognition. NIPS Ariadna Quattoni, Michael Collins, Trevor Darrell
2004	—	`conf`	Corrective language modeling for large vocabulary ASR with the perceptron algorithm. ICASSP (1) Brian Roark, Murat Saraclar, Michael Collins
2004	A*	`conf`	Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm. ACL Brian Roark, Murat Saraclar, Michael Collins, Mark Johnson
2004	—	`conf`	Exponentiated Gradient Algorithms for Large-margin Structured Classification. NIPS Peter L. Bartlett, Michael Collins, Benjamin Taskar, David A. McAllester
2004	A*	`conf`	Incremental Parsing with the Perceptron Algorithm. ACL Michael Collins, Brian Roark
2004	A*	`conf`	Max-Margin Parsing. EMNLP Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning
2003	J	`jnl`	Head-Driven Statistical Models for Natural Language Parsing. Comput. Linguistics Michael Collins
2003	A*	`conf`	Tutorial: Machine Learning Methods in Natural Language Processing. COLT Michael Collins
2002	A*	`conf`	Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms. EMNLP Michael Collins
2002	J	`jnl`	Logistic Regression, AdaBoost and Bregman Distances. Mach. Learn. Michael Collins, Robert E. Schapire, Yoram Singer
2002	A*	`conf`	New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron. ACL Michael Collins, Nigel Duffy
2002	A*	`conf`	Ranking Algorithms for Named Entity Extraction: Boosting and the Voted Perceptron. ACL Michael Collins
2001	—	`conf`	A Generalization of Principal Components Analysis to the Exponential Family. NIPS Michael Collins, Sanjoy Dasgupta, Robert E. Schapire
2001	—	`conf`	Convolution Kernels for Natural Language. NIPS Michael Collins, Nigel Duffy
2001	—	`conf`	Parameter Estimation for Statistical Parsing Models: Theory and Practice of Distribution-Free Methods. IWPT Michael Collins
2000	—	`conf`	Answer Extraction. ANLP Steven P. Abney, Michael Collins, Amit Singhal
2000	A*	`conf`	Discriminative Reranking for Natural Language Parsing. ICML Michael Collins
2000	Misc	`conf`	Improving intonational phrasing with syntactic information. ICASSP Philipp Koehn, Steven P. Abney, Julia Hirschberg, Michael Collins
2000	A*	`conf`	Logistic Regression, AdaBoost and Bregman Distances. COLT Michael Collins, Robert E. Schapire, Yoram Singer
2000	—	`conf`	The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts. AAAI/IAAI Regina Barzilay, Michael Collins, Julia Hirschberg, Steve Whittaker
1999	A*	`conf`	A Statistical Parser for Czech. ACL Michael Collins, Jan Hajic, Lance A. Ramshaw, Christoph Tillmann
1999	—	`conf`	AT&T at TREC-8. TREC Amit Singhal, Steven P. Abney, Michiel Bacchiani, Michael Collins, Donald Hindle, Fernando C. N. Pereira
1999	A*	`conf`	Unsupervised Models for Named Entity Classification. EMNLP Michael Collins, Yoram Singer
1998	—	`conf`	Semantic Tagging using a Probabilistic Context Free Grammar. VLC@COLING/ACL Michael Collins, Scott Miller
1997	J	`jnl`	Three Generative, Lexicalised Models for Statistical Parsing CoRR Michael Collins
1997	A*	`conf`	Three Generative, Lexicalised Models for Statistical Parsing. ACL Michael Collins
1996	J	`jnl`	A New Statistical Parser Based on Bigram Lexical Dependencies CoRR Michael Collins
1996	A*	`conf`	A New Statistical Parser Based on Bigram Lexical Dependencies. ACL Michael Collins
1995	J	`jnl`	Prepositional Phrase Attachment through a Backed-Off Model CoRR Michael Collins, James Brooks
1995	—	`conf`	Prepositional Phrase Attachment through a Backed-off Model. VLC@ACL Michael Collins, James Brooks
1995	Misc	`conf`	University of Pennsylvania: description of the University of Pennsylvania system used for MUC-6. MUC Breck Baldwin, Michael Collins, Jason Eisner, Adwait Ratnaparkhi, Joseph Rosenzweig, Anoop Sarkar
1993	—	`conf`	Spoken language translation with MID-90's technology: a case study. EUROSPEECH Manny Rayner, Ivan Bretan, David M. Carter, Michael Collins, Vassilios Digalakis, Björn Gambäck, Jaan Kaja, Jussi Karlgren, Bertil Lyberg, Stephen G. Pulman, Patti Price, Christer Samuelsson