NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (20)

cs.CL2016

Globally Normalized Transition-Based Neural Networks

Daniel Andor, Chris Alberti, David Weiss +5

cs.CL2019

Synthetic QA Corpora Generation with Roundtrip Consistency

Chris Alberti, Daniel Andor, Emily Pitler +2

cs.CL2015

Structured Training for Neural Network Transition-Based Parsing

David Weiss, Chris Alberti, Michael Collins +1

cs.CL2017

Cross-Lingual Syntactic Transfer with Limited Resources

Mohammad Sadegh Rasooli, Michael Collins

cs.CL2015

Learning Dictionaries for Named Entity Recognition using Minimal Supervision

Arvind Neelakantan, Michael Collins

stat.ML2017

Kernel Approximation Methods for Speech Recognition

Avner May, Alireza Bagheri Garakani, Zhiyun Lu +9

q-bio.NC2018

MEG-Derived Functional Tractography, Results for Normal and Concussed Cohorts

Don Krieger, Paul Shepard, Walter Schneider +4

cmp-lg1996

A New Statistical Parser Based on Bigram Lexical Dependencies

Michael Collins

cs.CL2019

Low-Resource Syntactic Transfer with Unsupervised Source Reordering

Mohammad Sadegh Rasooli, Michael Collins

cs.AI2012

Case-Factor Diagrams for Structured Probabilistic Modeling

David A. McAllester, Michael Collins, Fernando Pereira

cmp-lg1997

Three Generative, Lexicalised Models for Statistical Parsing

Michael Collins

cs.CL2018

Improving Span-based Question Answering Systems with Coarsely Labeled Data

Hao Cheng, Ming-Wei Chang, Kenton Lee +3

cs.CL2014

A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing

Alexander M. Rush, Michael Collins

cs.CL2012

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

Luke S. Zettlemoyer, Michael Collins

cs.LG2016

A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition

Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani +8

cs.CL2017

SyntaxNet Models for the CoNLL 2017 Shared Task

Chris Alberti, Daniel Andor, Ivan Bogatyy +10

cs.LG2015

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets

Zhiyun Lu, Avner May, Kuan Liu +8

cs.CL2019

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Christopher Clark, Kenton Lee, Ming-Wei Chang +3

cs.CL2018

Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency

Zhuang Ma, Michael Collins

cmp-lg1995

Prepositional Phrase Attachment through a Backed-Off Model

Michael Collins, James Brooks