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ORCIDMichael Collins 0001
Person information
- affiliation: Google Inc.
- affiliation: Columbia University, Department of Computer Science
- affiliation (2003 - 2010): Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory
- affiliation (1999 - 2002): AT&T Labs Research
- affiliation (PhD 1998): University of Pennsylvania, Department of Computer and Information Science
Other persons with the same name
- Michael Collins — disambiguation page
- Michael Collins 0002 — University College Dublin, Department of Computer Science
- Michael Collins 0003 — Northwestern State University, College of Business
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Journal Articles
- 2023
[j24]Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Lora Aroyo, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter:
Measuring Attribution in Natural Language Generation Models. Comput. Linguistics 49(4): 777-840 (2023)- [j23]Thomas Effland, Michael Collins:
Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization. Trans. Assoc. Comput. Linguistics 11: 122-138 (2023) - 2022
- [j22]Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? Trans. Assoc. Comput. Linguistics 10: 359-375 (2022) - 2021
- [j21]Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins:
Sparse, Dense, and Attentional Representations for Text Retrieval. Trans. Assoc. Comput. Linguistics 9: 329-345 (2021) - [j20]Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins:
Decontextualization: Making Sentences Stand-Alone. Trans. Assoc. Comput. Linguistics 9: 447-461 (2021) - [j19]Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins:
QED: A Framework and Dataset for Explanations in Question Answering. Trans. Assoc. Comput. Linguistics 9: 790-806 (2021) - [j18]Thomas Effland, Michael Collins:
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss. Trans. Assoc. Comput. Linguistics 9: 1320-1335 (2021) - 2020
- [j17]Jonathan H. Clark, Jennimaria Palomaki, Vitaly Nikolaev, Eunsol Choi, Dan Garrette, Michael Collins, Tom Kwiatkowski:
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. Trans. Assoc. Comput. Linguistics 8: 454-470 (2020) - 2019
- [j16]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:
Kernel Approximation Methods for Speech Recognition. J. Mach. Learn. Res. 20: 59:1-59:36 (2019) - [j15]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:
Natural Questions: a Benchmark for Question Answering Research. Trans. Assoc. Comput. Linguistics 7: 452-466 (2019) - 2017
- [j14]Yin-Wen Chang, Michael Collins:
A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit. Trans. Assoc. Comput. Linguistics 5: 59-71 (2017) - [j13]Mohammad Sadegh Rasooli, Michael Collins:
Cross-Lingual Syntactic Transfer with Limited Resources. Trans. Assoc. Comput. Linguistics 5: 279-293 (2017) - 2016
- [j12]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:
Predicting the impact of scientific concepts using full-text features. J. Assoc. Inf. Sci. Technol. 67(11): 2684-2696 (2016) - [j11]Siva Reddy, Oscar Täckström, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, Mirella Lapata:
Transforming Dependency Structures to Logical Forms for Semantic Parsing. Trans. Assoc. Comput. Linguistics 4: 127-140 (2016) - [j10]Karl Stratos, Michael Collins, Daniel J. Hsu:
Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models. Trans. Assoc. Comput. Linguistics 4: 245-257 (2016) - 2014
- [j9]Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Spectral learning of latent-variable PCFGs: algorithms and sample complexity. J. Mach. Learn. Res. 15(1): 2399-2449 (2014) - 2012
- [j8]Alexander M. Rush, Michael Collins:
A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing. J. Artif. Intell. Res. 45: 305-362 (2012) - 2008
- [j7]David A. McAllester, Michael Collins, Fernando Pereira:
Case-factor diagrams for structured probabilistic modeling. J. Comput. Syst. Sci. 74(1): 84-96 (2008) - [j6]Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras, Peter L. Bartlett:
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks. J. Mach. Learn. Res. 9: 1775-1822 (2008) - 2007
- [j5]Brian Roark, Murat Saraclar, Michael Collins:
Discriminative n-gram language modeling. Comput. Speech Lang. 21(2): 373-392 (2007) - [j4]Ariadna Quattoni, Sy Bor Wang, Louis-Philippe Morency, Michael Collins, Trevor Darrell:
Hidden Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1848-1852 (2007) - 2005
- [j3]Michael Collins, Terry Koo:
Discriminative Reranking for Natural Language Parsing. Comput. Linguistics 31(1): 25-70 (2005) - 2003
- [j2]Michael Collins:
Head-Driven Statistical Models for Natural Language Parsing. Comput. Linguistics 29(4): 589-637 (2003) - 2002
- [j1]Michael Collins, Robert E. Schapire, Yoram Singer:
Logistic Regression, AdaBoost and Bregman Distances. Mach. Learn. 48(1-3): 253-285 (2002)
Conference and Workshop Papers
- 2023
- [c94]Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan:
Query Refinement Prompts for Closed-Book Long-Form QA. ACL (1) 2023: 7997-8012 - 2022
- [c93]Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata:
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. ACL (1) 2022: 1319-1339 - 2021
- [c92]Vidhisha Balachandran, Bhuwan Dhingra, Haitian Sun, Michael Collins, William W. Cohen:
Investigating the Effect of Background Knowledge on Natural Questions. DeeLIO@NAACL-HLT 2021: 25-30 - 2020
- [c91]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 S. H. 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:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - 2019
- [c90]Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins:
Synthetic QA Corpora Generation with Roundtrip Consistency. ACL (1) 2019: 6168-6173 - [c89]Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter:
Fusion of Detected Objects in Text for Visual Question Answering. EMNLP/IJCNLP (1) 2019: 2131-2140 - [c88]Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova:
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. NAACL-HLT (1) 2019: 2924-2936 - [c87]Mohammad Sadegh Rasooli, Michael Collins:
Low-Resource Syntactic Transfer with Unsupervised Source Reordering. NAACL-HLT (1) 2019: 3845-3856 - 2017
- [c86]Yin-Wen Chang, Michael Collins:
Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms. EMNLP 2017: 1495-1499 - 2016
- [c85]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. ACL (1) 2016 - [c84]Andrei Simion, Michael Collins, Cliff Stein:
Towards a Convex HMM Surrogate for Word Alignment. EMNLP 2016: 531-540 - [c83]Avner May, Michael Collins, Daniel J. Hsu, Brian Kingsbury:
Compact kernel models for acoustic modeling via random feature selection. ICASSP 2016: 2424-2428 - [c82]Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha:
A comparison between deep neural nets and kernel acoustic models for speech recognition. ICASSP 2016: 5070-5074 - 2015
- [c81]Andrei Arsene Simion, Michael Collins, Cliff Stein:
A Family of Latent Variable Convex Relaxations for IBM Model 2. AAAI 2015: 2318-2324 - [c80]David Weiss, Chris Alberti, Michael Collins, Slav Petrov:
Structured Training for Neural Network Transition-Based Parsing. ACL (1) 2015: 323-333 - [c79]Karl Stratos, Michael Collins, Daniel J. Hsu:
Model-based Word Embeddings from Decompositions of Count Matrices. ACL (1) 2015: 1282-1291 - [c78]Andrei Simion, Michael Collins, Cliff Stein:
On A Strictly Convex IBM Model 1. EMNLP 2015: 221-226 - [c77]Mohammad Sadegh Rasooli, Michael Collins:
Density-Driven Cross-Lingual Transfer of Dependency Parsers. EMNLP 2015: 328-338 - [c76]Karl Stratos, Michael Collins:
Simple Semi-Supervised POS Tagging. VS@HLT-NAACL 2015: 79-87 - 2014
- [c75]Shay B. Cohen, Michael Collins:
A Provably Correct Learning Algorithm for Latent-Variable PCFGs. ACL (1) 2014: 1052-1061 - [c74]Yin-Wen Chang, Alexander M. Rush, John DeNero, Michael Collins:
A Constrained Viterbi Relaxation for Bidirectional Word Alignment. ACL (1) 2014: 1481-1490 - [c73]Dingquan Wang, Rebecca J. Passonneau, Michael Collins, Cynthia Rudin:
Modeling Weather Impact on a Secondary Electrical Grid. ANT/SEIT 2014: 631-638 - [c72]Andrei Simion, Michael Collins, Cliff Stein:
Some Experiments with a Convex IBM Model 2. EACL 2014: 180-184 - [c71]Arvind Neelakantan, Michael Collins:
Learning Dictionaries for Named Entity Recognition using Minimal Supervision. EACL 2014: 452-461 - [c70]Karl Stratos, Do-kyum Kim, Michael Collins, Daniel J. Hsu:
A Spectral Algorithm for Learning Class-Based n-gram Models of Natural Language. UAI 2014: 762-771 - 2013
- [c69]Karl Stratos, Alexander M. Rush, Shay B. Cohen, Michael Collins:
Spectral Learning of Refinement HMMs. CoNLL 2013: 56-64 - [c68]Alexander M. Rush, Yin-Wen Chang, Michael Collins:
Optimal Beam Search for Machine Translation. EMNLP 2013: 210-221 - [c67]Andrei Simion, Michael Collins, Cliff Stein:
A Convex Alternative to IBM Model 2. EMNLP 2013: 1574-1583 - [c66]Shay B. Cohen, Michael Collins, Dean P. Foster, Karl Stratos, Lyle H. Ungar:
Spectral Learning Algorithms for Natural Language Processing. HLT-NAACL 2013: 13-15 - [c65]Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Experiments with Spectral Learning of Latent-Variable PCFGs. HLT-NAACL 2013: 148-157 - [c64]Shay B. Cohen, Giorgio Satta, Michael Collins:
Approximate PCFG Parsing Using Tensor Decomposition. HLT-NAACL 2013: 487-496 - 2012
- [c63]Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Spectral Learning of Latent-Variable PCFGs. ACL (1) 2012: 223-231 - [c62]Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Spectral Dependency Parsing with Latent Variables. EMNLP-CoNLL 2012: 205-213 - [c61]Alexander M. Rush, Roi Reichart, Michael Collins, Amir Globerson:
Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints. EMNLP-CoNLL 2012: 1434-1444 - [c60]Shay B. Cohen, Michael Collins:
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs. NIPS 2012: 2528-2536 - 2011
- [c59]Michael Collins, Alexander M. Rush:
Dual Decomposition for Natural Language Processing. ACL (Tutorial Abstracts) 2011: 6 - [c58]Alexander M. Rush, Michael Collins:
Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation. ACL 2011: 72-82 - [c57]Yin-Wen Chang, Michael Collins:
Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation. EMNLP 2011: 26-37 - [c56]Michael Collins:
Lagrangian Relaxation for Inference in Natural Language Processing. IWPT 2011: 150-150 - 2010
- [c55]Terry Koo, Michael Collins:
Efficient Third-Order Dependency Parsers. ACL 2010: 1-11 - [c54]Shivani Agarwal, Michael Collins:
Maximum Margin Ranking Algorithms for Information Retrieval. ECIR 2010: 332-343 - [c53]Alexander M. Rush, David A. Sontag, Michael Collins, Tommi S. Jaakkola:
On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing. EMNLP 2010: 1-11 - [c52]Terry Koo, Alexander M. Rush, Michael Collins, Tommi S. Jaakkola, David A. Sontag:
Dual Decomposition for Parsing with Non-Projective Head Automata. EMNLP 2010: 1288-1298 - [c51]Fadi Biadsy, Julia Hirschberg, Michael Collins:
Dialect recognition using a phone-GMM-supervector-based SVM kernel. INTERSPEECH 2010: 753-756 - 2009
- [c50]Luke Zettlemoyer, Michael Collins:
Learning Context-Dependent Mappings from Sentences to Logical Form. ACL/IJCNLP 2009: 976-984 - [c49]Xavier Carreras, Michael Collins:
Non-Projective Parsing for Statistical Machine Translation. EMNLP 2009: 200-209 - [c48]Jun Suzuki, Hideki Isozaki, Xavier Carreras, Michael Collins:
An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing. EMNLP 2009: 551-560 - [c47]Ariadna Quattoni, Xavier Carreras, Michael Collins, Trevor Darrell:
An efficient projection for l1,infinity regularization. ICML 2009: 857-864 - [c46]Natasha Singh-Miller, Michael Collins:
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition. NIPS 2009: 1678-1686 - 2008
- [c45]Terry Koo, Xavier Carreras, Michael Collins:
Simple Semi-supervised Dependency Parsing. ACL 2008: 595-603 - [c44]Xavier Carreras, Michael Collins, Terry Koo:
TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing. CoNLL 2008: 9-16 - [c43]Ariadna Quattoni, Michael Collins, Trevor Darrell:
Transfer learning for image classification with sparse prototype representations. CVPR 2008 - [c42]Jason Katz-Brown, Michael Collins:
Syntactic Reordering in Preprocessing for Japanese → English Translation: MIT System Description for NTCIR-7 Patent Translation Task. NTCIR 2008 - 2007
- [c41]Ariadna Quattoni, Michael Collins, Trevor Darrell:
Learning Visual Representations using Images with Captions. CVPR 2007 - [c40]Terry Koo, Amir Globerson, Xavier Carreras, Michael Collins:
Structured Prediction Models via the Matrix-Tree Theorem. EMNLP-CoNLL 2007: 141-150 - [c39]Luke Zettlemoyer, Michael Collins:
Online Learning of Relaxed CCG Grammars for Parsing to Logical Form. EMNLP-CoNLL 2007: 678-687 - [c38]Chao Wang, Michael Collins, Philipp Koehn:
Chinese Syntactic Reordering for Statistical Machine Translation. EMNLP-CoNLL 2007: 737-745 - [c37]Natasha Singh-Miller, Michael Collins:
Trigger-Based Language Modeling using a Loss-Sensitive Perceptron Algorithm. ICASSP (4) 2007: 25-28 - [c36]Amir Globerson, Terry Koo, Xavier Carreras, Michael Collins:
Exponentiated gradient algorithms for log-linear structured prediction. ICML 2007: 305-312 - [c35]Natasha Singh-Miller, Michael Collins, Timothy J. Hazen:
Dimensionality reduction for speech recognition using neighborhood components analysis. INTERSPEECH 2007: 1158-1161 - 2006
- [c34]Brooke Cowan, Ivona Kucerova, Michael Collins:
A Discriminative Model for Tree-to-Tree Translation. EMNLP 2006: 232-241 - 2005
- [c33]Michael Collins, Brian Roark, Murat Saraclar:
Discriminative Syntactic Language Modeling for Speech Recognition. ACL 2005: 507-514 - [c32]Michael Collins, Philipp Koehn, Ivona Kucerova:
Clause Restructuring for Statistical Machine Translation. ACL 2005: 531-540 - [c31]Terry Koo, Michael Collins:
Hidden-Variable Models for Discriminative Reranking. HLT/EMNLP 2005: 507-514 - [c30]Brooke Cowan, Michael Collins:
Morphology and Reranking for the Statistical Parsing of Spanish. HLT/EMNLP 2005: 795-802 - [c29]Luke S. Zettlemoyer, Michael Collins:
Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars. UAI 2005: 658-666 - 2004
- [c28]Brian Roark, Murat Saraclar, Michael Collins, Mark Johnson:
Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm. ACL 2004: 47-54 - [c27]Michael Collins, Brian Roark:
Incremental Parsing with the Perceptron Algorithm. ACL 2004: 111-118 - [c26]Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning:
Max-Margin Parsing. EMNLP 2004: 1-8 - [c25]Brian Roark, Murat Saraclar, Michael Collins:
Corrective language modeling for large vocabulary ASR with the perceptron algorithm. ICASSP (1) 2004: 749-752 - [c24]Peter L. Bartlett, Michael Collins, Benjamin Taskar, David A. McAllester:
Exponentiated Gradient Algorithms for Large-margin Structured Classification. NIPS 2004: 113-120 - [c23]Ariadna Quattoni, Michael Collins, Trevor Darrell:
Conditional Random Fields for Object Recognition. NIPS 2004: 1097-1104 - [c22]David A. McAllester, Michael Collins, Fernando Pereira:
Case-Factor Diagrams for Structured Probabilistic Modeling. UAI 2004: 382-391 - 2003
- [c21]Michael Collins:
Tutorial: Machine Learning Methods in Natural Language Processing. COLT 2003: 655 - 2002
- [c20]Michael Collins, Nigel Duffy:
New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron. ACL 2002: 263-270 - [c19]Michael Collins:
Ranking Algorithms for Named Entity Extraction: Boosting and the Voted Perceptron. ACL 2002: 489-496 - [c18]Michael Collins:
Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms. EMNLP 2002: 1-8 - 2001
- [c17]Michael Collins:
Parameter Estimation for Statistical Parsing Models: Theory and Practice of Distribution-Free Methods. IWPT 2001 - [c16]Michael Collins, Sanjoy Dasgupta, Robert E. Schapire:
A Generalization of Principal Components Analysis to the Exponential Family. NIPS 2001: 617-624 - [c15]Michael Collins, Nigel Duffy:
Convolution Kernels for Natural Language. NIPS 2001: 625-632 - 2000
- [c14]Regina Barzilay, Michael Collins, Julia Hirschberg, Steve Whittaker:
The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts. AAAI/IAAI 2000: 679-684 - [c13]Steven P. Abney, Michael Collins, Amit Singhal:
Answer Extraction. ANLP 2000: 296-301 - [c12]Michael Collins, Robert E. Schapire, Yoram Singer:
Logistic Regression, AdaBoost and Bregman Distances. COLT 2000: 158-169 - [c11]Philipp Koehn, Steven P. Abney, Julia Hirschberg, Michael Collins:
Improving intonational phrasing with syntactic information. ICASSP 2000: 1289-1290 - [c10]Michael Collins:
Discriminative Reranking for Natural Language Parsing. ICML 2000: 175-182 - 1999
- [c9]Michael Collins, Jan Hajic, Lance A. Ramshaw, Christoph Tillmann:
A Statistical Parser for Czech. ACL 1999: 505-512 - [c8]Michael Collins, Yoram Singer:
Unsupervised Models for Named Entity Classification. EMNLP 1999 - [c7]Amit Singhal, Steven P. Abney, Michiel Bacchiani, Michael Collins, Donald Hindle, Fernando C. N. Pereira:
AT&T at TREC-8. TREC 1999 - 1998
- [c6]Michael Collins, Scott Miller:
Semantic Tagging using a Probabilistic Context Free Grammar. VLC@COLING/ACL 1998 - 1997
- [c5]Michael Collins:
Three Generative, Lexicalised Models for Statistical Parsing. ACL 1997: 16-23 - 1996
- [c4]Michael Collins:
A New Statistical Parser Based on Bigram Lexical Dependencies. ACL 1996: 184-191 - 1995
- [c3]Michael Collins, James Brooks:
Prepositional Phrase Attachment through a Backed-off Model. VLC@ACL 1995 - [c2]Breck Baldwin, Michael Collins, Jason Eisner, Adwait Ratnaparkhi, Joseph Rosenzweig, Anoop Sarkar:
University of Pennsylvania: description of the University of Pennsylvania system used for MUC-6. MUC 1995: 177-191 - 1993
- [c1]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:
Spoken language translation with MID-90's technology: a case study. EUROSPEECH 1993: 1299-1302
Informal and Other Publications
- 2024
- [i37]Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva:
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. CoRR abs/2402.00559 (2024) - 2023
- [i36]Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins:
Learning to Reject with a Fixed Predictor: Application to Decontextualization. CoRR abs/2301.09044 (2023) - 2022
- [i35]Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata:
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. CoRR abs/2203.15108 (2022) - [i34]Jacob Eisenstein, Daniel Andor, Bernd Bohnet, Michael Collins, David Mimno:
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model. CoRR abs/2210.02498 (2022) - [i33]Thomas Effland, Michael Collins:
Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization. CoRR abs/2210.09428 (2022) - [i32]Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan:
Query Refinement Prompts for Closed-Book Long-Form Question Answering. CoRR abs/2210.17525 (2022) - [i31]Chris Alberti, Kuzman Ganchev, Michael Collins, Sebastian Gehrmann, Ciprian Chelba:
Towards Computationally Verifiable Semantic Grounding for Language Models. CoRR abs/2211.09070 (2022) - [i30]Bernd Bohnet, Chris Alberti, Michael Collins:
Coreference Resolution through a seq2seq Transition-Based System. CoRR abs/2211.12142 (2022) - [i29]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:
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR abs/2212.08037 (2022) - 2021
- [i28]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 S. H. 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:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i27]Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins:
Decontextualization: Making Sentences Stand-Alone. CoRR abs/2102.05169 (2021) - [i26]Thomas Effland, Michael Collins:
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss. CoRR abs/2108.07216 (2021) - [i25]Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter:
Measuring Attribution in Natural Language Generation Models. CoRR abs/2112.12870 (2021) - 2020
- [i24]Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki:
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. CoRR abs/2003.05002 (2020) - [i23]Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins:
Sparse, Dense, and Attentional Representations for Text Retrieval. CoRR abs/2005.00181 (2020) - [i22]Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins:
QED: A Framework and Dataset for Explanations in Question Answering. CoRR abs/2009.06354 (2020) - [i21]Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How much do explanations from the teacher aid students? CoRR abs/2012.00893 (2020) - 2019
- [i20]Chris Alberti, Kenton Lee, Michael Collins:
A BERT Baseline for the Natural Questions. CoRR abs/1901.08634 (2019) - [i19]Mohammad Sadegh Rasooli, Michael Collins:
Low-Resource Syntactic Transfer with Unsupervised Source Reordering. CoRR abs/1903.05683 (2019) - [i18]Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova:
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. CoRR abs/1905.10044 (2019) - [i17]Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins:
Synthetic QA Corpora Generation with Roundtrip Consistency. CoRR abs/1906.05416 (2019) - [i16]Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter:
Fusion of Detected Objects in Text for Visual Question Answering. CoRR abs/1908.05054 (2019) - 2018
- [i15]Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova:
Improving Span-based Question Answering Systems with Coarsely Labeled Data. CoRR abs/1811.02076 (2018) - 2017
- [i14]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:
Kernel Approximation Methods for Speech Recognition. CoRR abs/1701.03577 (2017) - [i13]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:
SyntaxNet Models for the CoNLL 2017 Shared Task. CoRR abs/1703.04929 (2017) - 2016
- [i12]Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha:
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. CoRR abs/1603.05800 (2016) - [i11]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. CoRR abs/1603.06042 (2016) - [i10]Mohammad Sadegh Rasooli, Michael Collins:
Cross-Lingual Syntactic Transfer with Limited Resources. CoRR abs/1610.06227 (2016) - 2015
- [i9]Arvind Neelakantan, Michael Collins:
Learning Dictionaries for Named Entity Recognition using Minimal Supervision. CoRR abs/1504.06650 (2015) - [i8]David Weiss, Chris Alberti, Michael Collins, Slav Petrov:
Structured Training for Neural Network Transition-Based Parsing. CoRR abs/1506.06158 (2015) - 2014
- [i7]Alexander M. Rush, Michael Collins:
A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing. CoRR abs/1405.5208 (2014) - [i6]Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha:
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. CoRR abs/1411.4000 (2014) - 2012
- [i5]Luke S. Zettlemoyer, Michael Collins:
Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars. CoRR abs/1207.1420 (2012) - [i4]David A. McAllester, Michael Collins, Fernando Pereira:
Case-Factor Diagrams for Structured Probabilistic Modeling. CoRR abs/1207.4135 (2012) - 1997
- [i3]Michael Collins:
Three Generative, Lexicalised Models for Statistical Parsing. CoRR cmp-lg/9706022 (1997) - 1996
- [i2]Michael Collins:
A New Statistical Parser Based on Bigram Lexical Dependencies. CoRR cmp-lg/9605012 (1996) - 1995
- [i1]Michael Collins, James Brooks:
Prepositional Phrase Attachment through a Backed-Off Model. CoRR abs/cmp-lg/9506021 (1995)
Coauthor Index
Christopher Alberti
aka: Chris Alberti
aka: Chris Alberti
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