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Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles

Jul 16, 2020
Teng Liu, Bin Tian, Yunfeng Ai, Long Chen, Fei Liu, Dongpu Cao

* 6 pages, 11 figures 

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Understanding Points of Correspondence between Sentences for Abstractive Summarization

Jun 10, 2020
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu

* Camera-ready version for ACL 2020 Student Research Workshop (SRW) 

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Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

May 20, 2020
Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Dongpu Cao, Jonathan Li, Michael A. Chapman

* 21 pages, submitted to IEEE Transactions on Neural Networks and Learning Systems 

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AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images

May 19, 2020
Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu

* The 1st ranking on the Clean track and the 3rd place only 1.59106e-4 more than the 1st on the Real World track of the NTIRE 2020 Spectral Reconstruction Challenge 

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Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction

Mar 11, 2020
Steph-Yves Louis, Yong Zhao, Alireza Nasiri, Xiran Wong, Yuqi Song, Fei Liu, Jianjun Hu

* 11 pages. 5 figures 

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Self-Attention Network for Skeleton-based Human Action Recognition

Dec 18, 2019
Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh

* WACV 2020 Paper 

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Controlling the Amount of Verbatim Copying in Abstractive Summarization

Nov 23, 2019
Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu

* AAAI 2020 (Main Technical Track) 

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Joint Parsing and Generation for Abstractive Summarization

Nov 23, 2019
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu

* AAAI 2020 (Main Technical Track) 

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Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations

Oct 24, 2019
Sangwoo Cho, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu

* EMNLP 2019 Workshop on New Frontiers in Summarization 

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Towards Annotating and Creating Sub-Sentence Summary Highlights

Oct 17, 2019
Kristjan Arumae, Parminder Bhatia, Fei Liu


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Analyzing Sentence Fusion in Abstractive Summarization

Oct 01, 2019
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu


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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

Sep 26, 2019
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger

* EMNLP19 Camera-Ready 

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Scoring Sentence Singletons and Pairs for Abstractive Summarization

May 31, 2019
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu

* ACL 2019 (Long Paper) 

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Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

May 31, 2019
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu

* ACL 2019 (Long Paper) 

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Guiding Extractive Summarization with Question-Answering Rewards

Apr 04, 2019
Kristjan Arumae, Fei Liu

* NAACL 2019 

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The Referential Reader: A Recurrent Entity Network for Anaphora Resolution

Feb 05, 2019
Fei Liu, Luke Zettlemoyer, Jacob Eisenstein

* in review 

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Automatic Detection of Vague Words and Sentences in Privacy Policies

Aug 28, 2018
Logan Lebanoff, Fei Liu

* 10 pages 

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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization

Aug 28, 2018
Logan Lebanoff, Kaiqiang Song, Fei Liu

* 11 pages 

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Evaluating the Utility of Hand-crafted Features in Sequence Labelling

Aug 28, 2018
Minghao Wu, Fei Liu, Trevor Cohn

* Accepted to EMNLP 2018 (camera-ready) 

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A Novel ILP Framework for Summarizing Content with High Lexical Variety

Jul 25, 2018
Wencan Luo, Fei Liu, Zitao Liu, Diane Litman

* Accepted for publication in the journal of Natural Language Engineering, 2018 

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Structure-Infused Copy Mechanisms for Abstractive Summarization

Jun 24, 2018
Kaiqiang Song, Lin Zhao, Fei Liu

* 13 pages 

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Reinforced Extractive Summarization with Question-Focused Rewards

Jun 21, 2018
Kristjan Arumae, Fei Liu

* 7 pages 

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Abstract Meaning Representation for Multi-Document Summarization

Jun 14, 2018
Kexin Liao, Logan Lebanoff, Fei Liu

* 13 pages 

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Toward Abstractive Summarization Using Semantic Representations

May 25, 2018
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, Noah A. Smith

* 10 pages 

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An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses

May 25, 2018
Wencan Luo, Fei Liu, Diane Litman

* 11 pages 

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Automatic Summarization of Student Course Feedback

May 25, 2018
Wencan Luo, Fei Liu, Zitao Liu, Diane Litman

* 6 pages 

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Modeling Language Vagueness in Privacy Policies using Deep Neural Networks

May 25, 2018
Fei Liu, Nicole Lee Fella, Kexin Liao

* 7 pages 

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Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks

May 25, 2018
Sansiri Tarnpradab, Fei Liu, Kien A. Hua

* 5 pages 

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A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads

May 25, 2018
Kristjan Arumae, Guo-Jun Qi, Fei Liu

* 6 pages 

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