Fei Liu

119 papers A* 13A 2B 7Misc 3Journal 55Unranked 37
YearRankTypeTitle / Venue / Authors
2025 — conf
DeFine: Decision-Making with Analogical Reasoning over Factor Profiles.
ACL (Findings)
Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, Fei Liu
2025 J jnl
PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities.
CoRR
Haoming Li, Zhaoliang Chen, Jonathan Zhang, Fei Liu
2025 — conf
STRUX: An LLM for Decision-Making with Structured Explanations.
NAACL (Short Papers)
Yiming Lu, Yebowen Hu, Hassan Foroosh, Wei Jin, Fei Liu
2024 J jnl
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models.
CoRR
Jiaqi Xue, Mengxin Zheng, Yebowen Hu, Fei Liu, Xun Chen, Qian Lou
2024 J jnl
Can Large Language Models do Analytical Reasoning?
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
2024 J jnl
DeFine: Enhancing LLM Decision-Making with Factor Profiles and Analogical Reasoning.
CoRR
Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, Fei Liu
2024 — conf
Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy.
EMNLP (Findings)
Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu
2024 J jnl
Identifying Factual Inconsistency in Summaries: Towards Effective Utilization of Large Language Model.
CoRR
Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu
2024 — conf
InFoBench: Evaluating Instruction Following Ability in Large Language Models.
ACL (Findings)
Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
2024 J jnl
InFoBench: Evaluating Instruction Following Ability in Large Language Models.
CoRR
Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
2024 J jnl
LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning.
CoRR
Haoming Li, Zhaoliang Chen, Jonathan Zhang, Fei Liu
2024 A* conf
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
EMNLP
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
2024 J jnl
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
CoRR
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Ranran Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
2024 — ed.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024 - Tutorial Abstracts, Miami, Florida, USA, November 12-16, 2024
EMNLP (Tutorial Abstracts)
Junyi Jessy Li, Fei Liu
2024 — conf
Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation.
ACL (Student Research Workshop)
Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu
2024 J jnl
STRUX: An LLM for Decision-Making with Structured Explanations.
CoRR
Yiming Lu, Yebowen Hu, Hassan Foroosh, Wei Jin, Fei Liu
2024 — conf
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs.
ACL (1)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
2024 J jnl
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs.
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
2024 J jnl
Systematic Analysis of LLM Contributions to Planning: Solver, Verifier, Heuristic.
CoRR
Haoming Li, Zhaoliang Chen, Songyuan Liu, Yiming Lu, Fei Liu
2024 A* conf
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives.
EMNLP
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu
2024 J jnl
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives.
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu
2023 J jnl
Analyzing Influential Factors in Human Preference Judgments via GPT-4.
CoRR
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
2023 A* conf
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4.
EMNLP
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
2023 — conf
Generating User-Engaging News Headlines.
ACL (1)
Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu
2023 — conf
MeetingBank: A Benchmark Dataset for Meeting Summarization.
ACL (1)
Yebowen Hu, Timothy Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh, Fei Liu
2023 J jnl
MeetingBank: A Benchmark Dataset for Meeting Summarization.
CoRR
Yebowen Hu, Tim Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh, Fei Liu
2023 J jnl
PaniniQA: Enhancing Patient Education Through Interactive Question Answering.
CoRR
Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yi Cao, Alok Kapoor, Adarsha Bajracharya, Dan Berlowitz, Hong Yu
2023 J jnl
PaniniQA: Enhancing Patient Education Through Interactive Question Answering.
Trans. Assoc. Comput. Linguistics
Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yi Cao, Alok Kapoor, Adarsha Bajracharya, Dan Berlowitz, Hong Yu
2023 J jnl
Rescue: Ranking LLM Responses to Enhance Reasoning Over Context.
CoRR
Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu
2022 B conf
Generation of Patient After-Visit Summaries to Support Physicians.
COLING
Pengshan Cai, Fei Liu, Adarsha Bajracharya, Joe Sills, Alok Kapoor, Weisong Liu, Dan Berlowitz, David A. Levy, Richeek Pradhan, Hong Yu
2022 — conf
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition.
NAACL-HLT
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
2022 J jnl
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition.
CoRR
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
2022 A* conf
Toward Unifying Text Segmentation and Long Document Summarization.
EMNLP
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
2022 J jnl
Toward Unifying Text Segmentation and Long Document Summarization.
CoRR
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
2022 — conf
Towards Abstractive Grounded Summarization of Podcast Transcripts.
ACL (1)
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
2022 J jnl
Towards Abstractive Grounded Summarization of Podcast Transcripts.
CoRR
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
2021 — conf
A New Approach to Overgenerating and Scoring Abstractive Summaries.
NAACL-HLT
Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu
2021 J jnl
A New Approach to Overgenerating and Scoring Abstractive Summaries.
CoRR
Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu
2021 — conf
A Sliding-Window Approach to Automatic Creation of Meeting Minutes.
NAACL-HLT (Student Research Workshop)
Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu
2021 J jnl
A Sliding-Window Approach to Automatic Creation of Meeting Minutes.
CoRR
Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu
2021 A* conf
CATE: Computation-aware Neural Architecture Encoding with Transformers.
ICML
Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang
2021 J jnl
Modeling Endorsement for Multi-Document Abstractive Summarization.
CoRR
Logan Lebanoff, Bingqing Wang, Zhe Feng, Fei Liu
2021 — conf
StreamHover: Livestream Transcript Summarization and Annotation.
EMNLP (1)
Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh, Fei Liu
2021 J jnl
StreamHover: Livestream Transcript Summarization and Annotation.
CoRR
Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh, Fei Liu
2020 — conf
A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion.
AACL/IJCNLP
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu
2020 J jnl
A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion.
CoRR
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu
2020 — conf
Automatic Summarization of Open-Domain Podcast Episodes.
TREC
Kaiqiang Song, Fei Liu, Chen Li, Xiaoyang Wang, Dong Yu
2020 — conf
Better Highlighting: Creating Sub-Sentence Summary Highlights.
EMNLP (1)
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
2020 J jnl
Better Highlighting: Creating Sub-Sentence Summary Highlights.
CoRR
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
2020 A* conf
Controlling the Amount of Verbatim Copying in Abstractive Summarization.
AAAI
Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu
2020 A* conf
Joint Parsing and Generation for Abstractive Summarization.
AAAI
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
2020 — conf
Learning to Fuse Sentences with Transformers for Summarization.
EMNLP (1)
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu
2020 J jnl
Learning to Fuse Sentences with Transformers for Summarization.
CoRR
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu
2020 A conf
Self-Attention Network for Skeleton-based Human Action Recognition.
WACV
Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh
2020 — conf
Understanding Points of Correspondence between Sentences for Abstractive Summarization.
ACL (student)
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu
2020 J jnl
Understanding Points of Correspondence between Sentences for Abstractive Summarization.
CoRR
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu
2019 J jnl
Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations.
ACM Trans. Web
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
2019 J jnl
Analyzing Sentence Fusion in Abstractive Summarization.
CoRR
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
2019 J jnl
Controlling the Amount of Verbatim Copying in Abstractive Summarization.
CoRR
Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu
2019 — conf
Guiding Extractive Summarization with Question-Answering Rewards.
NAACL-HLT (1)
Kristjan Arumae, Fei Liu
2019 J jnl
Guiding Extractive Summarization with Question-Answering Rewards.
CoRR
Kristjan Arumae, Fei Liu
2019 — conf
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization.
ACL (1)
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu
2019 J jnl
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization.
CoRR
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu
2019 J jnl
Joint Parsing and Generation for Abstractive Summarization.
CoRR
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
2019 — conf
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance.
EMNLP/IJCNLP (1)
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger
2019 J jnl
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance.
CoRR
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger
2019 J jnl
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations.
CoRR
Sangwoo Cho, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
2019 — conf
Scoring Sentence Singletons and Pairs for Abstractive Summarization.
ACL (1)
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
2019 J jnl
Scoring Sentence Singletons and Pairs for Abstractive Summarization.
CoRR
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
2019 J jnl
Self-Attention Network for Skeleton-based Human Action Recognition.
CoRR
Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh
2019 J jnl
Towards Annotating and Creating Sub-Sentence Summary Highlights.
CoRR
Kristjan Arumae, Parminder Bhatia, Fei Liu
2018 J jnl
A Novel ILP Framework for Summarizing Content with High Lexical Variety.
CoRR
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
2018 J jnl
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads.
CoRR
Kristjan Arumae, Guo-Jun Qi, Fei Liu
2018 J jnl
A novel ILP framework for summarizing content with high lexical variety.
Nat. Lang. Eng.
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
2018 B conf
Abstract Meaning Representation for Multi-Document Summarization.
COLING
Kexin Liao, Logan Lebanoff, Fei Liu
2018 J jnl
Abstract Meaning Representation for Multi-Document Summarization.
CoRR
Kexin Liao, Logan Lebanoff, Fei Liu
2018 A* conf
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization.
EMNLP
Logan Lebanoff, Kaiqiang Song, Fei Liu
2018 J jnl
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization.
CoRR
Logan Lebanoff, Kaiqiang Song, Fei Liu
2018 J jnl
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses.
CoRR
Wencan Luo, Fei Liu, Diane J. Litman
2018 A* conf
Automatic Detection of Vague Words and Sentences in Privacy Policies.
EMNLP
Logan Lebanoff, Fei Liu
2018 J jnl
Automatic Detection of Vague Words and Sentences in Privacy Policies.
CoRR
Logan Lebanoff, Fei Liu
2018 J jnl
Automatic Summarization of Student Course Feedback.
CoRR
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
2018 J jnl
Modeling Language Vagueness in Privacy Policies using Deep Neural Networks.
CoRR
Fei Liu, Nicole Lee Fella, Kexin Liao
2018 — conf
Reinforced Extractive Summarization with Question-Focused Rewards.
ACL (3)
Kristjan Arumae, Fei Liu
2018 J jnl
Reinforced Extractive Summarization with Question-Focused Rewards.
CoRR
Kristjan Arumae, Fei Liu
2018 B conf
Structure-Infused Copy Mechanisms for Abstractive Summarization.
COLING
Kaiqiang Song, Lin Zhao, Fei Liu
2018 J jnl
Structure-Infused Copy Mechanisms for Abstractive Summarization.
CoRR
Kaiqiang Song, Lin Zhao, Fei Liu
2018 J jnl
Toward Abstractive Summarization Using Semantic Representations.
CoRR
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith
2018 J jnl
Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks.
CoRR
Sansiri Tarnpradab, Fei Liu, Kien A. Hua
2017 Misc conf
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads.
FLAIRS
Kristjan Arumae, Guo-Jun Qi, Fei Liu
2017 — conf
Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature.
BCB
Yanshan Wang, Sijia Liu, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Fei Liu, Hongfang Liu
2017 — ed.
Proceedings of the Workshop on New Frontiers in Summarization, NFiS@EMNLP 2017, Copenhagen, Denmark, September 7, 2017
NFiS@EMNLP
Lu Wang, Jackie Chi Kit Cheung, Giuseppe Carenini, Fei Liu
2017 J jnl
Reports on the 2016 AAAI Fall Symposium Series.
AI Mag.
Patrícia Alves-Oliveira, Richard G. Freedman, Dan Grollman, Laura Herlant, Laura R. Humphrey, Fei Liu, Ross Mead, Frank Stein, Tom Williams, Shomir Wilson
2017 Misc conf
Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks.
FLAIRS
Sansiri Tarnpradab, Fei Liu, Kien A. Hua
2016 B conf
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses.
COLING
Wencan Luo, Fei Liu, Diane J. Litman
2016 — conf
Automatic Summarization of Student Course Feedback.
HLT-NAACL
Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman
2016 A* conf
Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work?
WWW
Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman M. Sadeh, Fei Liu, Noah A. Smith, Frederick Liu
2016 — conf
Modeling Language Vagueness in Privacy Policies Using Deep Neural Networks.
AAAI Fall Symposia
Fei Liu, Nicole Lee Fella, Kexin Liao
2015 A* conf
Extractive Summarization by Maximizing Semantic Volume.
EMNLP
Dani Yogatama, Fei Liu, Noah A. Smith
2015 — conf
Toward Abstractive Summarization Using Semantic Representations.
HLT-NAACL
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith
2014 B conf
A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements.
COLING
Fei Liu, Rohan Ramanath, Norman M. Sadeh, Noah A. Smith
2014 B conf
Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations.
HCOMP
Rohan Ramanath, Florian Schaub, Shomir Wilson, Fei Liu, Norman M. Sadeh, Noah A. Smith
2014 A* conf
Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees.
EMNLP
Chen Li, Yang Liu, Fei Liu, Lin Zhao, Fuliang Weng
2014 — conf
Unsupervised Alignment of Privacy Policies using Hidden Markov Models.
ACL (2)
Rohan Ramanath, Fei Liu, Norman M. Sadeh, Noah A. Smith
2013 — conf
A Participant-based Approach for Event Summarization Using Twitter Streams.
HLT-NAACL
Chao Shen, Fei Liu, Fuliang Weng, Tao Li
2013 A* conf
Document Summarization via Guided Sentence Compression.
EMNLP
Chen Li, Fei Liu, Fuliang Weng, Yang Liu
2013 J jnl
Towards Abstractive Speech Summarization: Exploring Unsupervised and Supervised Approaches for Spoken Utterance Compression.
IEEE Trans. Speech Audio Process.
Fei Liu, Yang Liu
2012 — conf
A Broad-Coverage Normalization System for Social Media Language.
ACL (1)
Fei Liu, Fuliang Weng, Xiao Jiang
2011 J jnl
A Supervised Framework for Keyword Extraction From Meeting Transcripts.
IEEE Trans. Speech Audio Process.
Fei Liu, Feifan Liu, Yang Liu
2011 — conf
Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision.
ACL (2)
Fei Liu, Fuliang Weng, Bingqing Wang, Yang Liu
2011 B conf
Learning from Chinese-English Parallel Data for Chinese Tense Prediction.
IJCNLP
Feifan Liu, Fei Liu, Yang Liu
2010 A conf
Exploring speaker characteristics for meeting summarization.
INTERSPEECH
Fei Liu, Yang Liu
2010 Misc conf
Using n-best recognition output for extractive summarization and keyword extraction in meeting speech.
ICASSP
Yang Liu, Shasha Xie, Fei Liu
2010 — conf
Using spoken utterance compression for meeting summarization: A pilot study.
SLT
Fei Liu, Yang Liu
2009 — conf
From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression?
ACL/IJCNLP (2)
Fei Liu, Yang Liu
2009 — conf
Unsupervised Approaches for Automatic Keyword Extraction Using Meeting Transcripts.
HLT-NAACL
Feifan Liu, Deana Pennell, Fei Liu, Yang Liu
2008 — conf
Automatic keyword extraction for the meeting corpus using supervised approach and bigram expansion.
SLT
Fei Liu, Feifan Liu, Yang Liu
2008 — conf
Using Multiple Combined Ranker for Answering Definitional Questions.
AIRS
Junkuo Cao, Lide Wu, Xuanjing Huang, Yaqian Zhou, Fei Liu
2008 — conf
What Are Meeting Summaries? An Analysis of Human Extractive Summaries in Meeting Corpus.
SIGDIAL Workshop
Fei Liu, Yang Liu