M. Collins

发表

Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms

Michael Collins, M. Collins, 2002, EMNLP.

Trevor Darrell, Louis-Philippe Morency, Ariadna Quattoni, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Transfer learning for image classification with sparse prototype representations

Trevor Darrell, Ariadna Quattoni, Michael Collins, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron

Michael Collins, Nigel Duffy, Nigel P. Duffy, 2002, ACL.

Convolution Kernels for Natural Language

Michael Collins, Nigel Duffy, Nigel P. Duffy, 2001, NIPS.

Head-Driven Statistical Models for Natural Language Parsing

Michael Collins, M. Collins, 2003, CL.

Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars pdf

Luke S. Zettlemoyer, Michael Collins, Luke Zettlemoyer, 2005, UAI.

Logistic Regression, AdaBoost and Bregman Distances

Yoram Singer, Robert E. Schapire, Michael Collins, 2000, Machine Learning.

Online Learning of Relaxed CCG Grammars for Parsing to Logical Form

Luke S. Zettlemoyer, Michael Collins, Luke Zettlemoyer, 2007, EMNLP.

Hidden-state Conditional Random Fields

Trevor Darrell, M. Collins, A. Quattoni, 2006 .

Parameter Estimation for Statistical Parsing Models: Theory and Practice of

Michael Collins, M. Collins, 2001, IWPT.

An efficient projection for l 1 , infinity regularization.

Trevor Darrell, Ariadna Quattoni, Xavier Carreras, 2009, ICML 2009.

Incremental Parsing with the Perceptron Algorithm

Brian Roark, Michael Collins, M. Collins, 2004, ACL.

Discriminative Reranking for Natural Language Parsing

Michael Collins, Terry Koo, M. Collins, 2000, CL.

Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks

Peter L. Bartlett, Xavier Carreras, Michael Collins, 2008, J. Mach. Learn. Res..

Three Generative, Lexicalised Models for Statistical Parsing

Michael Collins, M. Collins, 1997, ACL.

A Generalization of Principal Components Analysis to the Exponential Family

Sanjoy Dasgupta, Michael Collins, Robert E. Schapire, 2001, NIPS.

Conditional Random Fields for Object Recognition

Trevor Darrell, Ariadna Quattoni, Michael Collins, 2004, NIPS.

Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm

Brian Roark, Michael Collins, Murat Saraclar, 2004, ACL.

Dual Decomposition for Parsing with Non-Projective Head Automata

Alexander M. Rush, Tommi S. Jaakkola, Michael Collins, 2010, EMNLP.

Max-Margin Parsing

Ben Taskar, Dan Klein, Christopher D. Manning, 2004, EMNLP.

Ranking Algorithms for Named Entity Extraction: Boosting and the VotedPerceptron

Michael Collins, M. Collins, 2002, ACL.

Discriminative Syntactic Language Modeling for Speech Recognition

Brian Roark, Michael Collins, Murat Saraclar, 2005, ACL.

The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts

Julia Hirschberg, Regina Barzilay, Michael Collins, 2000, AAAI/IAAI.

Forward-Backward Algorithm

Michael Collins, M. Collins, 2009, Encyclopedia of Biometrics.

A New Statistical Parser Based on Bigram Lexical Dependencies

Michael Collins, M. Collins, 1996, ACL.

Case-factor diagrams for structured probabilistic modeling

Fernando Pereira, Michael Collins, David A. McAllester, 2004, J. Comput. Syst. Sci..

Clause Restructuring for Statistical Machine Translation

Philipp Koehn, Michael Collins, Ivona Kucerova, 2005, ACL.

An efficient projection for l1, ∞ regularization

Trevor Darrell, Ariadna Quattoni, Xavier Carreras, 2009, ICML '09.

Simple Semi-supervised Dependency Parsing

Xavier Carreras, Michael Collins, Terry Koo, 2008, ACL.

Morphology and Reranking for the Statistical Parsing of Spanish

Michael Collins, Brooke Cowan, Brooke Cowan, 2005, HLT.

A Discriminative Model for Tree-to-Tree Translation

Michael Collins, Ivona Kucerova, Brooke Cowan, 2006, EMNLP.

Exponentiated Gradient Algorithms for Large-margin Structured Classification

Ben Taskar, Peter L. Bartlett, Michael Collins, 2004, NIPS.

A Statistical Parser for Czech

Michael Collins, Jan Hajic, Lance A. Ramshaw, 1999, ACL.

Large margin methods for structured classification : Exponentiated gradient algorithms and PAC-Bayesian generalization bounds

Ben Taskar, Peter L. Bartlett, Michael Collins, 2004 .

On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing

Alexander M. Rush, Tommi S. Jaakkola, Michael Collins, 2010, EMNLP.

Structured Prediction Models via the Matrix-Tree Theorem

Xavier Carreras, Michael Collins, Amir Globerson, 2007, EMNLP.

Restructuring for Statistical Machine Translation

Philipp Koehn, M. Collins, 2005 .

Object Recognition with Latent Conditional Random Fields by Ariadna Quattoni

Trevor Darrell, M. Collins, A. Quattoni, 2005 .

The Naive Bayes Model , Maximum-Likelihood Estimation , and the EM Algorithm

M. Collins, 2012 .

Statistical Machine Translation : IBM Models 1 and 2

Michael Collins, M. Collins, 2011 .

Learning Context-Dependent Mappings from Sentences to Logical Form

Luke S. Zettlemoyer, Michael Collins, Luke Zettlemoyer, 2009, ACL.

MACHINE LEARNING AS A SOURCE OF INSIGHT INTO UNIVERSAL GRAMMAR

S. Shieber, M. Collins, Shalom Lappin, 2006 .

Review of Beyond grammar: an experience-based theory of language by Rens Bod. CSLI Publications 1998.

Michael Collins, M. Collins, 1999 .

Three Generative, Lexicalised Models for Statistical Parsing

Michael Collins, M. Collins, 1997, ACL.

An efficient projection for {\it l}$_{\mbox{1}}$,$_{\mbox{infinity}}$ regularization

Trevor Darrell, Ariadna Quattoni, Xavier Carreras, 2009, International Conference on Machine Learning.

Parsing with a Single Neuron: Convolution Kernels for Natural Language Problems

Michael Collins, Nigel Duffy, Nigel P. Duffy, 2001 .

Book Reviews: Beyond Grammar: An Experience-based Theory of Language

Michael Collins, M. Collins, Michael Collins, 1998, CL.

Dialect recognition using a phone-GMM-supervector-based SVM kernel

Julia Hirschberg, Michael Collins, Fadi Biadsy, 2010, INTERSPEECH.

Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition

Michael Collins, Natasha Singh-Miller, M. Collins, 2009, NIPS.

Sparse, Dense, and Attentional Representations for Text Retrieval pdf

Jacob Eisenstein, Kristina Toutanova, Michael Collins, 2020, Transactions of the Association for Computational Linguistics.

Unsupervised Models for Named Entity Classification

Yoram Singer, Michael Collins, Y. Singer, 1999, EMNLP.

Dimensionality reduction for speech recognition using neighborhood components analysis

Timothy J. Hazen, Natasha Singh-Miller, Michael Collins, 2007, INTERSPEECH.

TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing

Xavier Carreras, Michael Collins, Terry Koo, 2008, CoNLL.

Discriminative n-gram language modeling

Brian Roark, Michael Collins, Murat Saraclar, 2007, Comput. Speech Lang..

Hidden-Variable Models for Discriminative Reranking

Michael Collins, Terry Koo, M. Collins, 2005, HLT.

Exponentiated gradient algorithms for log-linear structured prediction

Xavier Carreras, Michael Collins, Amir Globerson, 2007, ICML '07.

Efficient Third-Order Dependency Parsers

Michael Collins, Terry Koo, M. Collins, 2010, ACL.

Learning Visual Representations using Images with Captions

Trevor Darrell, Ariadna Quattoni, Michael Collins, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Spectral Learning of Refinement HMMs

Alexander M. Rush, Karl Stratos, Shay B. Cohen, 2013, CoNLL.

Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios

Smaranda Muresan, Ramy Eskander, Michael Collins, 2020, EMNLP.

Maximum Margin Ranking Algorithms for Information Retrieval

Michael Collins, Shivani Agarwal, M. Collins, 2010, ECIR.

A Projected Subgradient Method for Scalable Multi-Task Learning

Trevor Darrell, Ariadna Quattoni, Xavier Carreras, 2008 .

EM Algorithm

Michael Collins, M. Collins, 2010, Encyclopedia of Machine Learning.

Chinese Syntactic Reordering for Statistical Machine Translation

Chao Wang, Philipp Koehn, Michael Collins, 2007, EMNLP.

Efficient Coordinate Descent for Ranking with Domination

M. Collins, Mark Stevens, Terman, 2022 .

Prepositional Phrase Attachment through a Backed-off Model pdf

Michael Collins, James Brooks, M. Collins, 1995, VLC@ACL.

Non-Projective Parsing for Statistical Machine Translation

Xavier Carreras, Michael Collins, M. Collins, 2009, EMNLP.