Lianhui Qin(覃莲卉)

PhD student

School of Computer Science & Engineering, University of Washington

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I'm Lianhui (Karen) Qin (覃莲卉).
My research interests lie in natural language processing and machine learning, especially commonsense reasoning in text and conversation generation.

Papers17 papers

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Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning

Lianhui Qin, Vered Shwartz, Peter West,Chandra Bhagavatula, Jena Hwang,Ronan Le Bras, Antoine Bosselut,Yejin Choi

empirical methods in natural language processing, pp.794-805, (2020)

Bibtex

Summarizing Text on Any Aspects: A Knowledge Informed Weakly Supervised Approach

Bowen Tan,Lianhui Qin,Eric Xing,Zhiting Hu

EMNLP 2020, pp.6301-6309, (2020)

Bibtex

Back to the Future: Unsupervised Backprop based Decoding for Counterfactual and Abductive Commonsense Reasoning

Lianhui Qin, Vered Shwartz, Peter West,Chandra Bhagavatula, Jena D. Hwang,Ronan Le Bras, Antoine Bosselut,Yejin Choi

EMNLP 2020, (2020)

Bibtex

Evaluating Machines by their Real-World Language Use

Zellers Rowan, Holtzman Ari, Clark Elizabeth,Qin Lianhui,Farhadi Ali,Choi Yejin

Bibtex

Social Bias Frames: Reasoning about Social and Power Implications of Language

Sap Maarten,Gabriel Saadia,Qin Lianhui,Jurafsky Dan,Smith Noah A.,Choi Yejin

ACL, pp.5477-5490, (2020)

Cited by4EIBibtex

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading

Lianhui Qin,Michel Galley,Chris Brockett,Xiaodong Liu,Xiang Gao,Bill Dolan,Yejin Choi,Jianfeng Gao

ACL (1), pp.5427-5436, (2019)

Cited by19EIBibtex

Counterfactual Story Reasoning and Generation

Lianhui Qin, Antoine Bosselut, Ari Holtzman,Chandra Bhagavatula, Elizabeth Clark,Yejin Choi

EMNLP/IJCNLP (1), pp.5042-5052, (2019)

Cited by2EIBibtex

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang,Zichao Yang,Tiancheng Zhao,Junxian He,Lianhui Qin,Di Wang,Xuezhe Ma,Zhengzhong Liu,Xiaodan Liang

ACL (3), pp.159-164, (2019)

EIBibtex

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading

Lianhui Qin,Michel Galley,Chris Brockett,Xiaodong Liu,Xiang Gao,Bill Dolan,Yejin Choi,Jianfeng Gao

Meeting of the Association for Computational Linguistics, (2019)

Cited by19EIBibtex

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

Zhiting Hu, Haoran Shi,Zichao Yang, Bowen Tan, Tiancheng Zhao,Junxian He, Wentao Wang, Xingjiang Yu,Lianhui Qin, Di Wang,Xuezhe Ma, Hector Liu

arXiv: Computation and Language, (2018)

Cited by38EIBibtex

Deep Generative Models with Learnable Knowledge Constraints

Zhiting Hu,Zichao Yang,Ruslan Salakhutdinov,Xiaodan Liang,Lianhui Qin, Haoye Dong,Eric Xing

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018)

Cited by43EIBibtex

Automatic Article Commenting: the Task and Dataset

Lianhui Qin,Lemao Liu, Victoria Bi,Yan Wang,Xiaojiang Liu, Zhiting Hu,Hai Zhao,Shuming Shi

meeting of the association for computational linguistics, (2018)

Cited by13EIBibtex

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification

Lianhui Qin, Zhisong Zhang,Hai Zhao, Zhiting Hu,Eric P. Xing

ACL, (2017)

Cited by55EIBibtex

Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings

Lianhui Qin, Zhisong Zhang,Hai Zhao

COLING, pp.1914-1924, (2016)

Cited by20EIBibtex

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification

Lianhui Qin, Zhisong Zhang,Hai Zhao

EMNLP, pp.2263-2270, (2016)

Cited by36EIBibtex

Shallow Discourse Parsing Using Convolutional Neural Network

Lianhui Qin, Zhisong Zhang,Hai Zhao

CoNLL Shared Task, pp.70-77, (2016)

Cited by22EIBibtex

Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network

Zhisong Zhang,Hai Zhao,Lianhui Qin

ACL, (2016)

Cited by33EIBibtex

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Lianhui Qin(覃莲卉)Binding

Papers17 papers

Lianhui Qin(覃莲卉)