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Wang Ling

PhD Student

School of Computer Science, Carnegie Mellon University

卡内基梅隆大学

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I am a Phd student in the Dual Degree Carnegie Mellon Portugal PhD Program, between Carnegie Mellon University and Instituto Superior Tecnico. Currently, I am working in the Language Technologies Institute in Carnegie Mellon University. It is my privilage to be working with my advisors Alan Black (LTI), Chris Dyer (LTI) and Isabel Trancoso (INESC-ID), to whom I hold my deepest respect.

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Better Document-Level Machine Translation with Bayes' Rule

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

Transactions of the Association for Computational Linguistics, (2020): 346-360

Bibtex

A Mutual Information Maximization Perspective of Language Representation Learning

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

ICLR, (2020)

Cited by3EIBibtex

Learning and Evaluating General Linguistic Intelligence

Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, Tomás Kociský,Mike Chrzanowski,Lingpeng Kong, Angeliki Lazaridou,Wang Ling,Lei Yu,Chris Dyer,Phil Blunsom

arXiv: Learning, (2019)

Cited by33EIBibtex

A Mutual Information Maximization Perspective of Language Representation Learning

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

Bibtex

Putting Machine Translation in Context with the Noisy Channel Model

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

Bibtex

Variational Smoothing in Recurrent Neural Network Language Models

Lingpeng Kong, Gábor Melis,Wang Ling,Lei Yu,Dani Yogatama

ICLR, (2019)

Cited by1EIBibtex

Sentence Encoding with Tree-constrained Relation Networks

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

arXiv: Computation and Language, (2018)

Cited by1EIBibtex

Memory Architectures in Recurrent Neural Network Language Models

Dani Yogatama,Yishu Miao, Gábor Melis,Wang Ling, Adhiguna Kuncoro,Chris Dyer,Phil Blunsom

international conference on learning representations, (2018)

Cited by33EIBibtex

Reference-Aware Language Models

Zichao Yang,Phil Blunsom,Chris Dyer,Wang Ling

EMNLP, (2017)

Cited by56EIBibtex

Learning to Compose Words into Sentences with Reinforcement Learning

Dani Yogatama,Phil Blunsom,Chris Dyer,Edward Grefenstette,Wang Ling

international conference on learning representations, (2017)

Cited by92EIBibtex

Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces

Silvio Amir,Ramón Fernández Astudillo,Wang Ling,Paula C. Carvalho,Mário J. Silva

arXiv: Computation and Language, (2017)

Cited by1EIBibtex

Generative and Discriminative Text Classification with Recurrent Neural Networks

Dani Yogatama,Chris Dyer,Wang Ling,Phil Blunsom

arXiv: Machine Learning, (2017)

Cited by102EIBibtex

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

Wang Ling,Dani Yogatama,Chris Dyer,Phil Blunsom

meeting of the association for computational linguistics, (2017)

Cited by47EIBibtex

Neural Network-Based Abstract Generation for Opinions and Arguments

Lu Wang,Wang Ling

HLT-NAACL, (2016): 47-57

Cited by65EIBibtex

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

Yulia Tsvetkov,Manaal Faruqui,Wang Ling, Brian MacWhinney,Chris Dyer

meeting of the association for computational linguistics, (2016): 130-139

Bibtex

Latent Predictor Networks for Code Generation

Wang Ling,Phil Blunsom,Edward Grefenstette,Karl Moritz Hermann, Tomás Kociský, Fumin Wang,Andrew W. Senior

meeting of the association for computational linguistics, (2016): 599-609

Bibtex

Latent Predictor Networks for Code Generation

Wang Ling,Edward Grefenstette,Karl Moritz Hermann,Tomás Kociský,Andrew Senior, Fumin Wang,Phil Blunsom

ACL, (2016)

Cited by155EIBibtex

INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words

Silvio Amir,Ramón Fernández Astudillo,Wang Ling,Mário J. Silva,Isabel Trancoso

SemEval@NAACL-HLT, pp.238-242, (2016)

Cited by3EIBibtex

Semantic Parsing with Semi-Supervised Sequential Autoencoders

Tomás Kociský, Gábor Melis,Edward Grefenstette,Chris Dyer,Wang Ling,Phil Blunsom,Karl Moritz Hermann

EMNLP, (2016): 1078-1087

Cited by64EIBibtex

Mining Parallel Corpora from Sina Weibo and Twitter

Wang Ling,Luís Marujo,Chris Dyer,Alan W. Black,Isabel Trancoso

Computational Linguistics, no. 2 (2016): 307-343

Cited by6EIBibtex

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