Alexander M. Rush

According to our database1, Alexander M. Rush authored at least 46 papers between 2010 and 2019.

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Bibliography

2019
Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models.
IEEE Trans. Vis. Comput. Graph., 2019

2018
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks.
IEEE Trans. Vis. Comput. Graph., 2018

Latent Alignment and Variational Attention.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

End-to-End Content and Plan Selection for Data-to-Text Generation.
Proceedings of the 11th International Conference on Natural Language Generation, 2018

Adversarially Regularized Autoencoders.
Proceedings of the 35th International Conference on Machine Learning, 2018

Weightless: Lossy weight encoding for deep neural network compression.
Proceedings of the 35th International Conference on Machine Learning, 2018

Semi-Amortized Variational Autoencoders.
Proceedings of the 35th International Conference on Machine Learning, 2018

Weightless: Lossy weight encoding for deep neural network compression.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Neural Templates for Text Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Debugging Sequence-to-Sequence Models with Seq2Seq-Vis.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Training for Diversity in Image Paragraph Captioning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Entity Tracking Improves Cloze-style Reading Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Bottom-Up Abstractive Summarization.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

OpenNMT: Neural Machine Translation Toolkit.
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018

OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU.
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018

2017
Image-to-Markup Generation with Coarse-to-Fine Attention.
Proceedings of the 34th International Conference on Machine Learning, 2017

Lie-Access Neural Turing Machines.
Proceedings of the 5th International Conference on Learning Representations, 2017

Structured Attention Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Challenges in Data-to-Document Generation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Adapting Sequence Models for Sentence Correction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Coarse-to-Fine Attention Models for Document Summarization.
Proceedings of the Workshop on New Frontiers in Summarization, 2017

OpenNMT: Open-Source Toolkit for Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Antecedent Prediction Without a Pipeline.
Proceedings of the Workshop on Coreference Resolution Beyond OntoNotes, 2016

Learning Global Features for Coreference Resolution.
Proceedings of the NAACL HLT 2016, 2016

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks.
Proceedings of the NAACL HLT 2016, 2016

Sequence-to-Sequence Learning as Beam-Search Optimization.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Word Ordering Without Syntax.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

An Embedding Model for Predicting Roll-Call Votes.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Sequence-Level Knowledge Distillation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction.
Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 2016

Character-Aware Neural Language Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Transforming Dependencies into Phrase Structures.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A Fast Variational Approach for Learning Markov Random Field Language Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

A Neural Attention Model for Abstractive Sentence Summarization.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Lagrangian relaxation for natural language decoding.
PhD thesis, 2014

A Constrained Viterbi Relaxation for Bidirectional Word Alignment.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Optimal Beam Search for Machine Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Spectral Learning of Refinement HMMs.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

2012
A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing.
J. Artif. Intell. Res., 2012

Vine Pruning for Efficient Multi-Pass Dependency Parsing.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Dual Decomposition for Natural Language Processing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Dual Decomposition for Parsing with Non-Projective Head Automata.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010


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