Fei Liu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 78

Top Topics

Semantic Representations

Privacy Policies

Extractive Summarization

Top Venues

Publications

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs. CoRR (2024)
Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
InFoBench: Evaluating Instruction Following Ability in Large Language Models. ACL (Findings) (2024)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs. ACL (1) (2024)
Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
InFoBench: Evaluating Instruction Following Ability in Large Language Models. CoRR (2024)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives. CoRR (2024)
Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu
Generating User-Engaging News Headlines. ACL (1) (2023)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
Analyzing Influential Factors in Human Preference Judgments via GPT-4. CoRR (2023)
Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yi Cao, Alok Kapoor, Adarsha Bajracharya, Dan Berlowitz, Hong Yu
PaniniQA: Enhancing Patient Education Through Interactive Question Answering. Trans. Assoc. Comput. Linguistics 11 (2023)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4. EMNLP (2023)
Yebowen Hu, Tim Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh, Fei Liu
MeetingBank: A Benchmark Dataset for Meeting Summarization. CoRR (2023)
Yebowen Hu, Timothy Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh, Fei Liu
MeetingBank: A Benchmark Dataset for Meeting Summarization. ACL (1) (2023)
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
Toward Unifying Text Segmentation and Long Document Summarization. EMNLP (2022)
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. NAACL-HLT (2022)
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
Towards Abstractive Grounded Summarization of Podcast Transcripts. CoRR (2022)
Pengshan Cai, Fei Liu, Adarsha Bajracharya, Joe Sills, Alok Kapoor, Weisong Liu, Dan Berlowitz, David Levy, Richeek Pradhan, Hong Yu
Generation of Patient After-Visit Summaries to Support Physicians. COLING (2022)
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
Toward Unifying Text Segmentation and Long Document Summarization. CoRR (2022)
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. CoRR (2022)
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
Towards Abstractive Grounded Summarization of Podcast Transcripts. ACL (1) (2022)
Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh, Fei Liu
StreamHover: Livestream Transcript Summarization and Annotation. CoRR (2021)
Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh, Fei Liu
StreamHover: Livestream Transcript Summarization and Annotation. EMNLP (1) (2021)
Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang
CATE: Computation-aware Neural Architecture Encoding with Transformers. ICML (2021)
Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu
A New Approach to Overgenerating and Scoring Abstractive Summaries. NAACL-HLT (2021)
Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu
A New Approach to Overgenerating and Scoring Abstractive Summaries. CoRR (2021)
Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu
A Sliding-Window Approach to Automatic Creation of Meeting Minutes. CoRR (2021)
Logan Lebanoff, Bingqing Wang, Zhe Feng, Fei Liu
Modeling Endorsement for Multi-Document Abstractive Summarization. CoRR (2021)
Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu
A Sliding-Window Approach to Automatic Creation of Meeting Minutes. NAACL-HLT (Student Research Workshop) (2021)
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu
A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion. CoRR (2020)
Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh
Self-Attention Network for Skeleton-based Human Action Recognition. WACV (2020)
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu
Understanding Points of Correspondence between Sentences for Abstractive Summarization. ACL (student) (2020)
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
Joint Parsing and Generation for Abstractive Summarization. AAAI (2020)
Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu
Controlling the Amount of Verbatim Copying in Abstractive Summarization. AAAI (2020)
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu
Understanding Points of Correspondence between Sentences for Abstractive Summarization. CoRR (2020)
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
Better Highlighting: Creating Sub-Sentence Summary Highlights. EMNLP (1) (2020)
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu
Learning to Fuse Sentences with Transformers for Summarization. CoRR (2020)
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
Better Highlighting: Creating Sub-Sentence Summary Highlights. CoRR (2020)
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu
Learning to Fuse Sentences with Transformers for Summarization. EMNLP (1) (2020)
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu
A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion. AACL/IJCNLP (2020)
Shomir Wilson, Florian Schaub, Frederick Liu, Kanthashree Mysore Sathyendra, Daniel Smullen, Sebastian Zimmeck, Rohan Ramanath, Peter Story, Fei Liu, Norman M. Sadeh, Noah A. Smith
Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations. ACM Trans. Web 13 (1) (2019)
Kristjan Arumae, Fei Liu
Guiding Extractive Summarization with Question-Answering Rewards. CoRR (2019)
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
Scoring Sentence Singletons and Pairs for Abstractive Summarization. ACL (1) (2019)
Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh
Self-Attention Network for Skeleton-based Human Action Recognition. CoRR (2019)
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
Analyzing Sentence Fusion in Abstractive Summarization. CoRR (2019)
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. CoRR (2019)
Sangwoo Cho, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations. CoRR (2019)
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. ACL (1) (2019)
Kristjan Arumae, Parminder Bhatia, Fei Liu
Towards Annotating and Creating Sub-Sentence Summary Highlights. CoRR (2019)
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
Joint Parsing and Generation for Abstractive Summarization. CoRR (2019)
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. EMNLP/IJCNLP (1) (2019)
Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu
Controlling the Amount of Verbatim Copying in Abstractive Summarization. CoRR (2019)
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
Scoring Sentence Singletons and Pairs for Abstractive Summarization. CoRR (2019)
Kristjan Arumae, Fei Liu
Guiding Extractive Summarization with Question-Answering Rewards. NAACL-HLT (1) (2019)
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. CoRR (2019)
Logan Lebanoff, Fei Liu
Automatic Detection of Vague Words and Sentences in Privacy Policies. EMNLP (2018)
Wencan Luo, Fei Liu, Diane J. Litman
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. CoRR (2018)
Kexin Liao, Logan Lebanoff, Fei Liu
Abstract Meaning Representation for Multi-Document Summarization. COLING (2018)
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
A novel ILP framework for summarizing content with high lexical variety. Nat. Lang. Eng. 24 (6) (2018)
Sansiri Tarnpradab, Fei Liu, Kien A. Hua
Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks. CoRR (2018)
Kristjan Arumae, Fei Liu
Reinforced Extractive Summarization with Question-Focused Rewards. ACL (3) (2018)
Kristjan Arumae, Guo-Jun Qi, Fei Liu
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. CoRR (2018)
Kexin Liao, Logan Lebanoff, Fei Liu
Abstract Meaning Representation for Multi-Document Summarization. CoRR (2018)
Kaiqiang Song, Lin Zhao, Fei Liu
Structure-Infused Copy Mechanisms for Abstractive Summarization. CoRR (2018)
Kristjan Arumae, Fei Liu
Reinforced Extractive Summarization with Question-Focused Rewards. CoRR (2018)
Fei Liu, Nicole Lee Fella, Kexin Liao
Modeling Language Vagueness in Privacy Policies using Deep Neural Networks. CoRR (2018)
Logan Lebanoff, Kaiqiang Song, Fei Liu
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. CoRR (2018)
Logan Lebanoff, Fei Liu
Automatic Detection of Vague Words and Sentences in Privacy Policies. CoRR (2018)
Kaiqiang Song, Lin Zhao, Fei Liu
Structure-Infused Copy Mechanisms for Abstractive Summarization. COLING (2018)
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
Automatic Summarization of Student Course Feedback. CoRR (2018)
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith
Toward Abstractive Summarization Using Semantic Representations. CoRR (2018)
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
A Novel ILP Framework for Summarizing Content with High Lexical Variety. CoRR (2018)
Logan Lebanoff, Kaiqiang Song, Fei Liu
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. EMNLP (2018)
Yanshan Wang, Sijia Liu, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Fei Liu, Hongfang Liu
Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature. BCB (2017)
Kristjan Arumae, Guo-Jun Qi, Fei Liu
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. FLAIRS Conference (2017)
Patricia Alves-Oliveira, Richard G. Freedman, Dan Grollman, Laura Herlant, Laura Humphrey, Fei Liu, Ross Mead, Frank Stein, Tom Williams, Shomir Wilson
Reports on the 2016 AAAI Fall Symposium Series. AI Mag. 38 (2) (2017)
Sansiri Tarnpradab, Fei Liu, Kien A. Hua
Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks. FLAIRS Conference (2017)
Fei Liu, Nicole Lee Fella, Kexin Liao
Modeling Language Vagueness in Privacy Policies Using Deep Neural Networks. AAAI Fall Symposia (2016)
Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman M. Sadeh, Fei Liu, Noah A. Smith, Frederick Liu
Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work? WWW (2016)
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
Automatic Summarization of Student Course Feedback. HLT-NAACL (2016)
Wencan Luo, Fei Liu, Diane J. Litman
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. COLING (2016)
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith
Toward Abstractive Summarization Using Semantic Representations. HLT-NAACL (2015)
Dani Yogatama, Fei Liu, Noah A. Smith
Extractive Summarization by Maximizing Semantic Volume. EMNLP (2015)
Rohan Ramanath, Fei Liu, Norman M. Sadeh, Noah A. Smith
Unsupervised Alignment of Privacy Policies using Hidden Markov Models. ACL (2) (2014)
Rohan Ramanath, Florian Schaub, Shomir Wilson, Fei Liu, Norman M. Sadeh, Noah A. Smith
Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations. HCOMP (2014)
Chen Li, Yang Liu, Fei Liu, Lin Zhao, Fuliang Weng
Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees. EMNLP (2014)
Fei Liu, Rohan Ramanath, Norman M. Sadeh, Noah A. Smith
A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements. COLING (2014)
Chao Shen, Fei Liu, Fuliang Weng, Tao Li
A Participant-based Approach for Event Summarization Using Twitter Streams. HLT-NAACL (2013)
Fei Liu, Yang Liu
Towards Abstractive Speech Summarization: Exploring Unsupervised and Supervised Approaches for Spoken Utterance Compression. IEEE Trans. Speech Audio Process. 21 (7) (2013)
Chen Li, Fei Liu, Fuliang Weng, Yang Liu
Document Summarization via Guided Sentence Compression. EMNLP (2013)
Fei Liu, Fuliang Weng, Xiao Jiang
A Broad-Coverage Normalization System for Social Media Language. ACL (1) (2012)
Fei Liu, Feifan Liu, Yang Liu
A Supervised Framework for Keyword Extraction From Meeting Transcripts. IEEE Trans. Speech Audio Process. 19 (3) (2011)
Feifan Liu, Fei Liu, Yang Liu
Learning from Chinese-English Parallel Data for Chinese Tense Prediction. IJCNLP (2011)
Fei Liu, Fuliang Weng, Bingqing Wang, Yang Liu
Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision. ACL (2) (2011)
Fei Liu, Yang Liu
Using spoken utterance compression for meeting summarization: A pilot study. SLT (2010)
Fei Liu, Yang Liu
Exploring speaker characteristics for meeting summarization. INTERSPEECH (2010)
Yang Liu, Shasha Xie, Fei Liu
Using n-best recognition output for extractive summarization and keyword extraction in meeting speech. ICASSP (2010)
Feifan Liu, Deana Pennell, Fei Liu, Yang Liu
Unsupervised Approaches for Automatic Keyword Extraction Using Meeting Transcripts. HLT-NAACL (2009)
Fei Liu, Yang Liu
From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression? ACL/IJCNLP (2) (2009)
Junkuo Cao, Lide Wu, Xuanjing Huang, Yaqian Zhou, Fei Liu
Using Multiple Combined Ranker for Answering Definitional Questions. AIRS (2008)
Fei Liu, Yang Liu
What Are Meeting Summaries? An Analysis of Human Extractive Summaries in Meeting Corpus. SIGDIAL Workshop (2008)
Fei Liu, Feifan Liu, Yang Liu
Automatic keyword extraction for the meeting corpus using supervised approach and bigram expansion. SLT (2008)