Sam Wiseman

According to our database1, Sam Wiseman authored at least 21 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Controllable Paraphrasing and Translation with a Syntactic Exemplar.
CoRR, 2020

Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information.
CoRR, 2020

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Discrete Latent Variable Representations for Low-Resource Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Amortized Bethe Free Energy Minimization for Learning MRFs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Label-Agnostic Sequence Labeling by Copying Nearest Neighbors.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Controllable Paraphrase Generation with a Syntactic Exemplar.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
A Tutorial on Deep Latent Variable Models of Natural Language.
CoRR, 2018

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

Learning Neural Templates for Text Generation.
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

2017
Training Language Models Using Target-Propagation.
CoRR, 2017

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

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

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
Discriminatively Reranking Abductive Proofs for Plan Recognition.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014


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