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A Mutual Information Maximization Perspective of Language Representation Learning

Nov 26, 2019
Lingpeng Kong, Cyprien de Masson d'Autume, Wang Ling, Lei Yu, Zihang Dai, Dani Yogatama

* 12 pages, 3 figures 

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Putting Machine Translation in Context with the Noisy Channel Model

Oct 01, 2019
Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer

* 14 pages 

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Learning and Evaluating General Linguistic Intelligence

Jan 31, 2019
Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, Tomas Kocisky, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom

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Variational Smoothing in Recurrent Neural Network Language Models

Jan 27, 2019
Lingpeng Kong, Gabor Melis, Wang Ling, Lei Yu, Dani Yogatama

* Accepted as a conference paper at ICLR 2019 

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Sentence Encoding with Tree-constrained Relation Networks

Nov 26, 2018
Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling

* 12 pages 

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Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Oct 23, 2017
Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom

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Reference-Aware Language Models

Aug 09, 2017
Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling

* emnlp camera ready 

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Generative and Discriminative Text Classification with Recurrent Neural Networks

May 26, 2017
Dani Yogatama, Chris Dyer, Wang Ling, Phil Blunsom

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Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces

Jan 06, 2017
Silvio Amir, Rámon Astudillo, Wang Ling, Paula C. Carvalho, Mário J. Silva

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Learning to Compose Words into Sentences with Reinforcement Learning

Nov 28, 2016
Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling

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Semantic Parsing with Semi-Supervised Sequential Autoencoders

Sep 29, 2016
Tomáš Kočiský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann

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Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning

Jun 21, 2016
Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney, Chris Dyer

* In proceedings of ACL 2016, 10 pages 

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Neural Network-Based Abstract Generation for Opinions and Arguments

Jun 09, 2016
Lu Wang, Wang Ling

* NAACL 2016 

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Latent Predictor Networks for Code Generation

Jun 08, 2016
Wang Ling, Edward Grefenstette, Karl Moritz Hermann, Tomáš Kočiský, Andrew Senior, Fumin Wang, Phil Blunsom

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Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation

May 23, 2016
Wang Ling, Tiago Luís, Luís Marujo, Ramón Fernandez Astudillo, Silvio Amir, Chris Dyer, Alan W. Black, Isabel Trancoso

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Character-based Neural Machine Translation

Nov 14, 2015
Wang Ling, Isabel Trancoso, Chris Dyer, Alan W Black

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Privacy-Preserving Multi-Document Summarization

Aug 06, 2015
Luís Marujo, José Portêlo, Wang Ling, David Martins de Matos, João P. Neto, Anatole Gershman, Jaime Carbonell, Isabel Trancoso, Bhiksha Raj

* 4 pages, In Proceedings of 2nd ACM SIGIR Workshop on Privacy-Preserving Information Retrieval, August 2015. arXiv admin note: text overlap with arXiv:1407.5416 

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Transition-Based Dependency Parsing with Stack Long Short-Term Memory

May 29, 2015
Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith

* Proceedings of ACL 2015 

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Recognition of Named-Event Passages in News Articles

Jun 20, 2013
Luis Marujo, Wang Ling, Anatole Gershman, Jaime Carbonell, João P. Neto, David Matos

* In 25th International Conference on Computational Linguistics (COLING 2012) 

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