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ORCIDFei Liu 0004
Person information
- affiliation: Emory University, Atlanta, GA, USA
- affiliation (former): University of Central Florida, USA
- affiliation (former): Carnegie Mellon University, USA
- affiliation (former): University of Texas at Dallas, USA
Other persons with the same name
- Fei Liu — disambiguation page
- Fei Liu 0001
![[0000-0001-7160-2605]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7160-2605")
— Jiangnan University, Institute of Automation, Key Laboratory of Advanced Process Control for Light Industry, Wuxi, China (and 1 more) - Fei Liu 0002 — University of Twente, The Netherlands
- Fei Liu 0003 (aka: Faye F. Liu) — La Trobe University, Department of Computer Science and Information Technology, Melbourne, VIC, Australia
- Fei Liu 0005 — Tsinghua University, Department of Biomedical Engineering, China
- Fei Liu 0006 — South China University of Technology, School of Software Engineering, Guangzhou, China (and 2 more)
- Fei Liu 0007 — Shanghai Jiaotong University
- Fei Liu 0008 — Zhejiang University, College of Biosystems Engineering and Food Science
- Fei Liu 0009 — Beijing University of Posts and Telecommunications
- Fei Liu 0010 — Shandong University
- Fei Liu 0011 — CAS, Institute of Electronics
- Fei Liu 0012 — Chongqing University, College of Mechanical Engineering, State Key Laboratory of Mechanical Transmission, Chongqing, China
- Fei Liu 0013 — Rutgers University, Department of Mechanical and Aerospace Engineering, Piscataway, NJ, USA (and 1 more)
- Fei Liu 0014 — Institute of Security China Mobile
- Fei Liu 0015 — Wuhan University, School of Electrical Engineering and Automation, Wuhan, China (and 1 more)
- Fei Liu 0016 — National University of Defense Technology, School of Computer Science, Changsha, China
- Fei Liu 0017 — Tsinghua University, Department of Automation
- Fei Liu 0018 — Mie University, Japan
- Fei Liu 0019 — Southeast University, Nanjing
- Fei Liu 0020 — Wuhan University, State Key Laboratory of Software Engineering
- Fei Liu 0021 — University of New Mexico, USA (and 1 more)
- Fei Liu 0022 — IBM Global Business Services (and 1 more)
- Fei Liu 0023 — University of Melbourne, Australia
- Fei Liu 0024 — Alcon Laboratories (and 2 more)
- Fei Liu 0025 — University of Missouri (and 1 more)
- Fei Liu 0026 — RWTH Aachen, Institute for Networked Systems, Germany
- Fei Liu 0027 — Washington University, Dept. of Radiology
- Fei Liu 0028 — Copenhagen Business School, Copenhagen, Denmark (and 1 more)
- Fei Liu 0029 — KunShan Industrial Technology Research Institute
- Fei Liu 0030 — Chinese Academy of Sciences, National Astronomical Observatories, Key Laboratory of Solar Activity, Beijing, China
- Fei Liu 0031 — Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent Perception and Computing, Beijing, China
- Fei Liu 0032 — NASA Goddard Space Flight Center, Greenbelt, MD, USA (and 2 more)
- Fei Liu 0033 — University of California San Diego, La Jolla, CA, USA (and 1 more)
- Fei Liu 0034 — Uppsala University, Sweden
- Fei Liu 0035 — Chinese Academy of Sciences, CAS Key Laboratory of Pathogenic Microbiology and Immunology, Beijing, China (and 1 more)
- Fei Liu 0036 — Macquarie University, Department of Molecular Sciences, Sydney, Australia
- Fei Liu 0037 — Lanzhou University, Ubiquitous Awareness and Intelligent Solutions Lab, Lanzhou, China
- Fei Liu 0038 — Hefei University of Technology, School of Computer and Information, China
- Fei Liu 0039 — Jilin University, Key Laboratory of Geophysical Exploration Equipment, Changchun, China
- Fei Liu 0040 — China University of Mining and Technology, School of Environment Science and Spatial Informatics, Xuzhou, China
- Fei Liu 0041 — University of Tsukuba, Graduate School of Life and Environmental Sciences, Tsukuba, Japan
- Fei Liu 0042 — University of Leeds, School of Earth and Environment, Leeds, UK (and 1 more)
- Fei Liu 0043 — Beihang University, School of Automation Science and Electrical Engineering, Science and Technology on Aircraft Control Laboratory, Beijing, China
- Fei Liu 0044 — City University of Hong Kong, Hong Kong, SAR, China
- Fei Liu 0045 — Southern Yangtze University, Institute of Automation, Wuxi, Jiangsu, China
Other persons with a similar name
- Fei-Fei Liu
- Fei Tony Liu — Monash University, Melbourne, VIC, Australia
- Hsiao-Fei Liu
- Pengfei Liu (aka: PengFei Liu, Pengfeï Liu, Peng-Fei Liu) — disambiguation page
- Tie-Fei Liu
- Xiao-Fei Liu
- Yan-Fei Liu
- Yi-Fei Liu
- Yu-Fei Liu
- Yunfei Liu (aka: Yun-fei Liu, Yun-Fei Liu, Yun Fei Liu) — disambiguation page
- show all similar names
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2020 – today
- 2024
[c57]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: 267-278- [c56]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: 13025-13048 - [c55]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. EMNLP 2024: 4293-4308 - [i43]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 abs/2401.03601 (2024) - [i42]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 abs/2402.10979 (2024) - [i41]Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu:
Can Large Language Models do Analytical Reasoning? CoRR abs/2403.04031 (2024) - [i40]Jiaqi Xue, Mengxin Zheng, Yebowen Hu, Fei Liu, Xun Chen, Qian Lou:
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models. CoRR abs/2406.00083 (2024) - [i39]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 abs/2406.12084 (2024) - [i38]Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, Fei Liu:
DeFine: Enhancing LLM Decision-Making with Factor Profiles and Analogical Reasoning. CoRR abs/2410.01772 (2024) - [i37]Yiming Lu, Yebowen Hu, Hassan Foroosh, Wei Jin, Fei Liu:
STRUX: An LLM for Decision-Making with Structured Explanations. CoRR abs/2410.12583 (2024) - 2023
- [j6]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: 1518-1536 (2023) - [c54]Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu:
Generating User-Engaging News Headlines. ACL (1) 2023: 3265-3280 - [c53]Yebowen Hu, Timothy Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh, Fei Liu:
MeetingBank: A Benchmark Dataset for Meeting Summarization. ACL (1) 2023: 16409-16423 - [c52]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: 8344-8357 - [i36]Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu:
Analyzing Influential Factors in Human Preference Judgments via GPT-4. CoRR abs/2305.14702 (2023) - [i35]Yebowen Hu, Tim Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh, Fei Liu:
MeetingBank: A Benchmark Dataset for Meeting Summarization. CoRR abs/2305.17529 (2023) - [i34]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. CoRR abs/2308.03253 (2023) - 2022
- [c51]Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu:
Towards Abstractive Grounded Summarization of Podcast Transcripts. ACL (1) 2022: 4407-4418 - [c50]Pengshan Cai, Fei Liu, Adarsha Bajracharya, Joe Sills, Alok Kapoor, Weisong Liu, Dan Berlowitz, David A. Levy, Richeek Pradhan, Hong Yu:
Generation of Patient After-Visit Summaries to Support Physicians. COLING 2022: 6234-6247 - [c49]Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu:
Toward Unifying Text Segmentation and Long Document Summarization. EMNLP 2022: 106-118 - [c48]Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi:
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. NAACL-HLT 2022: 4781-4796 - [i33]Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu:
Towards Abstractive Grounded Summarization of Podcast Transcripts. CoRR abs/2203.11425 (2022) - [i32]Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi:
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. CoRR abs/2205.14748 (2022) - [i31]Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu:
Toward Unifying Text Segmentation and Long Document Summarization. CoRR abs/2210.16422 (2022) - 2021
- [c47]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: 6457-6474 - [c46]Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang:
CATE: Computation-aware Neural Architecture Encoding with Transformers. ICML 2021: 11670-11681 - [c45]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: 68-75 - [c44]Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu:
A New Approach to Overgenerating and Scoring Abstractive Summaries. NAACL-HLT 2021: 1392-1404 - [i30]Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu:
A New Approach to Overgenerating and Scoring Abstractive Summaries. CoRR abs/2104.01726 (2021) - [i29]Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu:
A Sliding-Window Approach to Automatic Creation of Meeting Minutes. CoRR abs/2104.12324 (2021) - [i28]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 abs/2109.05160 (2021) - [i27]Logan Lebanoff, Bingqing Wang, Zhe Feng, Fei Liu:
Modeling Endorsement for Multi-Document Abstractive Summarization. CoRR abs/2110.07844 (2021) - 2020
- [c43]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: 8894-8901 - [c42]Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu:
Controlling the Amount of Verbatim Copying in Abstractive Summarization. AAAI 2020: 8902-8909 - [c41]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: 191-198 - [c40]Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu:
Learning to Fuse Sentences with Transformers for Summarization. EMNLP (1) 2020: 4136-4142 - [c39]Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu:
Better Highlighting: Creating Sub-Sentence Summary Highlights. EMNLP (1) 2020: 6282-6300 - [c38]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: 529-535 - [c37]Kaiqiang Song, Fei Liu, Chen Li, Xiaoyang Wang, Dong Yu:
Automatic Summarization of Open-Domain Podcast Episodes. TREC 2020 - [c36]Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh:
Self-Attention Network for Skeleton-based Human Action Recognition. WACV 2020: 624-633 - [i26]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 abs/2006.05621 (2020) - [i25]Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu:
A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion. CoRR abs/2010.03722 (2020) - [i24]Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu:
Learning to Fuse Sentences with Transformers for Summarization. CoRR abs/2010.03726 (2020) - [i23]Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu:
Better Highlighting: Creating Sub-Sentence Summary Highlights. CoRR abs/2010.10566 (2020)
2010 – 2019
- 2019
- [j5]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): 1:1-1:29 (2019) - [c35]Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu:
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. ACL (1) 2019: 1027-1038 - [c34]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: 2175-2189 - [c33]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: 563-578 - [c32]Kristjan Arumae, Fei Liu:
Guiding Extractive Summarization with Question-Answering Rewards. NAACL-HLT (1) 2019: 2566-2577 - [i22]Kristjan Arumae, Fei Liu:
Guiding Extractive Summarization with Question-Answering Rewards. CoRR abs/1904.02321 (2019) - [i21]Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu:
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. CoRR abs/1906.00072 (2019) - [i20]Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu:
Scoring Sentence Singletons and Pairs for Abstractive Summarization. CoRR abs/1906.00077 (2019) - [i19]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 abs/1909.02622 (2019) - [i18]Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu:
Analyzing Sentence Fusion in Abstractive Summarization. CoRR abs/1910.00203 (2019) - [i17]Kristjan Arumae, Parminder Bhatia, Fei Liu:
Towards Annotating and Creating Sub-Sentence Summary Highlights. CoRR abs/1910.07659 (2019) - [i16]Sangwoo Cho, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu:
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations. CoRR abs/1910.11411 (2019) - [i15]Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu:
Joint Parsing and Generation for Abstractive Summarization. CoRR abs/1911.10389 (2019) - [i14]Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu:
Controlling the Amount of Verbatim Copying in Abstractive Summarization. CoRR abs/1911.10390 (2019) - [i13]Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh:
Self-Attention Network for Skeleton-based Human Action Recognition. CoRR abs/1912.08435 (2019) - 2018
- [j4]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): 887-920 (2018) - [c31]Kristjan Arumae, Fei Liu:
Reinforced Extractive Summarization with Question-Focused Rewards. ACL (3) 2018: 105-111 - [c30]Kexin Liao, Logan Lebanoff, Fei Liu:
Abstract Meaning Representation for Multi-Document Summarization. COLING 2018: 1178-1190 - [c29]Kaiqiang Song, Lin Zhao, Fei Liu:
Structure-Infused Copy Mechanisms for Abstractive Summarization. COLING 2018: 1717-1729 - [c28]Logan Lebanoff, Fei Liu:
Automatic Detection of Vague Words and Sentences in Privacy Policies. EMNLP 2018: 3508-3517 - [c27]Logan Lebanoff, Kaiqiang Song, Fei Liu:
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. EMNLP 2018: 4131-4141 - [i12]Kristjan Arumae, Guo-Jun Qi, Fei Liu:
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. CoRR abs/1805.10389 (2018) - [i11]Sansiri Tarnpradab, Fei Liu, Kien A. Hua:
Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks. CoRR abs/1805.10390 (2018) - [i10]Kristjan Arumae, Fei Liu:
Reinforced Extractive Summarization with Question-Focused Rewards. CoRR abs/1805.10392 (2018) - [i9]Fei Liu, Nicole Lee Fella, Kexin Liao:
Modeling Language Vagueness in Privacy Policies using Deep Neural Networks. CoRR abs/1805.10393 (2018) - [i8]Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman:
Automatic Summarization of Student Course Feedback. CoRR abs/1805.10395 (2018) - [i7]Wencan Luo, Fei Liu, Diane J. Litman:
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. CoRR abs/1805.10396 (2018) - [i6]Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith:
Toward Abstractive Summarization Using Semantic Representations. CoRR abs/1805.10399 (2018) - [i5]Kexin Liao, Logan Lebanoff, Fei Liu:
Abstract Meaning Representation for Multi-Document Summarization. CoRR abs/1806.05655 (2018) - [i4]Kaiqiang Song, Lin Zhao, Fei Liu:
Structure-Infused Copy Mechanisms for Abstractive Summarization. CoRR abs/1806.05658 (2018) - [i3]Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman:
A Novel ILP Framework for Summarizing Content with High Lexical Variety. CoRR abs/1807.09671 (2018) - [i2]Logan Lebanoff, Kaiqiang Song, Fei Liu:
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. CoRR abs/1808.06218 (2018) - [i1]Logan Lebanoff, Fei Liu:
Automatic Detection of Vague Words and Sentences in Privacy Policies. CoRR abs/1808.06219 (2018) - 2017
- [j3]Patrícia Alves-Oliveira, Richard G. Freedman, Dan Grollman, Laura Herlant, Laura R. Humphrey, Fei Liu, Ross Mead, Frank Stein, Tom Williams, Shomir Wilson:
Reports on the 2016 AAAI Fall Symposium Series. AI Mag. 38(2): 86-90 (2017) - [c26]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: 36-43 - [c25]Kristjan Arumae, Guo-Jun Qi, Fei Liu:
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. FLAIRS 2017: 26-31 - [c24]Sansiri Tarnpradab, Fei Liu, Kien A. Hua:
Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks. FLAIRS 2017: 288-292 - [e1]Lu Wang, Jackie Chi Kit Cheung, Giuseppe Carenini, Fei Liu:
Proceedings of the Workshop on New Frontiers in Summarization, NFiS@EMNLP 2017, Copenhagen, Denmark, September 7, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-89-0 [contents] - 2016
- [c23]Fei Liu, Nicole Lee Fella, Kexin Liao:
Modeling Language Vagueness in Privacy Policies Using Deep Neural Networks. AAAI Fall Symposia 2016 - [c22]Wencan Luo, Fei Liu, Diane J. Litman:
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. COLING 2016: 53-63 - [c21]Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman:
Automatic Summarization of Student Course Feedback. HLT-NAACL 2016: 80-85 - [c20]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: 133-143 - 2015
- [c19]Dani Yogatama, Fei Liu, Noah A. Smith:
Extractive Summarization by Maximizing Semantic Volume. EMNLP 2015: 1961-1966 - [c18]Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith:
Toward Abstractive Summarization Using Semantic Representations. HLT-NAACL 2015: 1077-1086 - 2014
- [c17]Rohan Ramanath, Fei Liu, Norman M. Sadeh, Noah A. Smith:
Unsupervised Alignment of Privacy Policies using Hidden Markov Models. ACL (2) 2014: 605-610 - [c16]Fei Liu, Rohan Ramanath, Norman M. Sadeh, Noah A. Smith:
A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements. COLING 2014: 884-894 - [c15]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: 691-701 - [c14]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: 54-55 - 2013
- [j2]Fei Liu, Yang Liu:
Towards Abstractive Speech Summarization: Exploring Unsupervised and Supervised Approaches for Spoken Utterance Compression. IEEE Trans. Speech Audio Process. 21(7): 1469-1480 (2013) - [c13]Chen Li, Fei Liu, Fuliang Weng, Yang Liu:
Document Summarization via Guided Sentence Compression. EMNLP 2013: 490-500 - [c12]Chao Shen, Fei Liu, Fuliang Weng, Tao Li:
A Participant-based Approach for Event Summarization Using Twitter Streams. HLT-NAACL 2013: 1152-1162 - 2012
- [c11]Fei Liu, Fuliang Weng, Xiao Jiang:
A Broad-Coverage Normalization System for Social Media Language. ACL (1) 2012: 1035-1044 - 2011
- [j1]Fei Liu, Feifan Liu, Yang Liu:
A Supervised Framework for Keyword Extraction From Meeting Transcripts. IEEE Trans. Speech Audio Process. 19(3): 538-548 (2011) - [c10]Fei Liu, Fuliang Weng, Bingqing Wang, Yang Liu:
Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision. ACL (2) 2011: 71-76 - [c9]Feifan Liu, Fei Liu, Yang Liu:
Learning from Chinese-English Parallel Data for Chinese Tense Prediction. IJCNLP 2011: 1116-1124 - 2010
- [c8]Yang Liu, Shasha Xie, Fei Liu:
Using n-best recognition output for extractive summarization and keyword extraction in meeting speech. ICASSP 2010: 5310-5313 - [c7]Fei Liu, Yang Liu:
Exploring speaker characteristics for meeting summarization. INTERSPEECH 2010: 2518-2521 - [c6]Fei Liu, Yang Liu:
Using spoken utterance compression for meeting summarization: A pilot study. SLT 2010: 37-42
2000 – 2009
- 2009
- [c5]Fei Liu, Yang Liu:
From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression? ACL/IJCNLP (2) 2009: 261-264 - [c4]Feifan Liu, Deana Pennell, Fei Liu, Yang Liu:
Unsupervised Approaches for Automatic Keyword Extraction Using Meeting Transcripts. HLT-NAACL 2009: 620-628 - 2008
- [c3]Junkuo Cao, Lide Wu, Xuanjing Huang, Yaqian Zhou, Fei Liu:
Using Multiple Combined Ranker for Answering Definitional Questions. AIRS 2008: 448-453 - [c2]Fei Liu, Yang Liu:
What Are Meeting Summaries? An Analysis of Human Extractive Summaries in Meeting Corpus. SIGDIAL Workshop 2008: 80-83 - [c1]Fei Liu, Feifan Liu, Yang Liu:
Automatic keyword extraction for the meeting corpus using supervised approach and bigram expansion. SLT 2008: 181-184
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-11-25 22:46 CET by the dblp team
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