Publications

Peer-Reviewed Journal & Conference Papers

 

2021

1. StreamHover: Livestream Transcript Summarization and Annotation
   Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh and Fei Liu
   In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online and at Punta Cana, Dominican Republic, 2021.
2. A Sliding-Window Approach to Automatic Creation of Meeting Minutes
   Jia Jin Koay, Alexander Roustai, Xiaojin Dai and Fei Liu
   In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Student Research Workshop, Online, 2021.
3. A New Approach to Overgenerating and Scoring Abstractive Summaries
   Kaiqiang Song, Bingqing Wang, Zhe Feng and Fei Liu
   In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Online, 2021.
   Acceptance rate 477/1797 = 26.5%
4. Semantic Parsing of Brief and Multi-Intent Natural Language Utterances
   Logan Lebanoff, Charles Newton, Victor Hung, Beth Atkinson, John Killilea and Fei Liu
   In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Workshop on Domain Adaptation for NLP, Online, 2021.
5. Modeling Endorsement for Multi-Document Abstractive Summarization
   Logan Lebanoff, Bingqing Wang, Zhe Feng and Fei Liu
   In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on New Frontiers in Summarization, 2021.
6. CATE: Computation-aware Neural Architecture Encoding with Transformers
   Shen Yan, Kaiqiang Song, Fei Liu and Mi Zhang
   In Proceedings of the International Conference on Machine Learning (ICML), Online, 2021. (Oral Presentation)
   Acceptance rate 1184/5513 = 21.5%

 

2020

7. Controlling the Amount of Verbatim Copying in Abstractive Summarization
   Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren and Fei Liu
   In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York City, NY, 2020.
   Acceptance rate 1591/7737 = 20.6%
8. Joint Parsing and Generation for Abstractive Summarization
   Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu and Fei Liu
   In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York City, NY, 2020.
   Acceptance rate 1591/7737 = 20.6%
9. Learning to Fuse Sentences with Transformers for Summarization
   Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang and Fei Liu
   In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online, 2020.
   Acceptance rate 752/3359 = 22.4%
10. Better Highlighting: Creating Sub-Sentence Summary Highlights
    Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh and Fei Liu
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online, 2020.
    Acceptance rate 752/3359 = 22.4%
11. Understanding Points of Correspondence between Sentences for Abstractive Summarization
    Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang and Fei Liu
    In Proceedings of the 2020 Annual Conference of the Association for Computational Linguistics (ACL), Student Research Workshop, Online, 2020.
12. A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion
    Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang and Fei Liu
    In Proceedings of the Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), Online, 2020.
    Acceptance rate 106/375 = 28.3%
13. How Domain Terminology Affects Meeting Summarization Performance
    Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Dillon Burns, Alec Kerrigan and Fei Liu
    In Proceedings of the 28th International Conference on Computational Linguistics (COLING), Online, 2020.
    Acceptance rate: 644/1956=32.9%
14. Self-Attention Network for Skeleton-based Human Action Recognition
    Sangwoo Cho, Muhammad Maqbool, Fei Liu and Hassan Foroosh
    In Proceedings of the 2020 IEEE Winter Applications of Computer Vision Conference (WACV), Colorado, 2020.
    Acceptance rate: 379/1096 = 34.5%
15. Automatic Summarization of Open-Domain Podcast Episodes
    Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu and Fei Liu
    In Proceedings of the 29th Text REtrieval Conference (TREC), Online, 2020.
    Won second place at the TREC 2020 Podcast Challenge evaluated by NIST assessors, first place by automatic evaluation.

 

2019

16. Scoring Sentence Singletons and Pairs for Abstractive Summarization
    Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang and Fei Liu
    In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, 2019.
    Acceptance rate 660/2905 = 22.7%
17. Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization
    Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, and Fei Liu
    In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, 2019. (Oral Presentation)
    Acceptance rate 660/2905 = 22.7%
18. Guiding Extractive Summarization with Question-Answering Rewards
    Kristjan Arumae and Fei Liu
    In Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Minneapolis, Minnesota, 2019. (Oral Presentation)
    Acceptance rate 423/1733 = 24.4%
19. MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
    Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer and Steffen Eger
    In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. (Oral Presentation)
    Acceptance rate 683/2876 = 23.7%
20. Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations
    Sangwoo Cho, Chen Li, Dong Yu, Hassan Foroosh and Fei Liu
    In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on New Frontiers in Summarization, 2019.
21. Analyzing Sentence Fusion in Abstractive Summarization
    Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang and Fei Liu
    In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on New Frontiers in Summarization, 2019.
22. Towards Annotating and Creating Sub-Sentence Summary Highlights
    Kristjan Arumae, Parminder Bhatia and Fei Liu
    In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on New Frontiers in Summarization, 2019.

 

2018

23. Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
    Logan Lebanoff, Kaiqiang Song, and Fei Liu
    In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, 2018.
24. Automatic Detection of Vague Words and Sentences in Privacy Policies
    Logan Lebanoff and Fei Liu
    In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, 2018.
25. Structure-Infused Copy Mechanisms for Abstractive Summarization
    Kaiqiang Song, Lin Zhao, and Fei Liu
    In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, 2018. (Oral Presentation)
    Try our new structure-aware sentence summarizer!
26. Abstract Meaning Representation for Multi-Document Summarization
    Kexin Liao, Logan Lebanoff, and Fei Liu
    In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, 2018. (Oral Presentation)
    [Area Chair Favorite Paper]
27. Reinforced Extractive Summarization with Question-Focused Rewards
    Kristjan Arumae and Fei Liu
    In Proceedings of the Student Research Workshop of ACL, Melbourne, Australia, 2018.
    
28. Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations
    Shomir Wilson, Florian Schaub, Frederick Liu, Kanthashree Mysore Sathyendra, Daniel Smullen, Sebsatian Zimmeck, Rohan Ramanath, Peter Story, Fei Liu, Norman Sadeh, and Noah Smith
    ACM Transactions on the Web, Accepted with Minor Revision, 2018.
29. A Novel ILP Framework for Summarizing Content with High Lexical Variety
    Wencan Luo, Fei Liu, Zitao Liu, and Diane Litman
    Journal of Natural Language Engineering, Cambridge University Press, Accepted, 2018.
    

 

2017

30. Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks
    Sansiri Tarnpradab, Fei Liu, Kien A. Hua
    In Proceedings of the 30th Florida Artificial Intelligence Research Society Conference (FLAIRS), Marco Island, Florida, 2017.
31. A Study of Question Effectiveness Using Reddit “Ask Me Anything” Threads
    Kristjan Arumae, Guo-Jun Qi, Fei Liu
    In Proceedings of the 30th Florida Artificial Intelligence Research Society Conference (FLAIRS), Marco Island, Florida, 2017.
    Download Reddit AMA Dataset
32. Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature
    Yanshan Wang, Sijia Liu, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Fei Liu, Hongfang Liu
    In Proceedings of the ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Boston, Massachusetts, 2017.
33. Reports on the 2016 AAAI Fall Symposium Series
    Patrícia Alves-Oliveira, Richard G Freedman, Dan Grollman, Laura Herlant, Laura Humphrey, Fei Liu, Ross Mead, Frank Stein, Tom Williams, Shomir Wilson
    AI Magazine, Vol. 38, Issue 2, pp. 86–90, Summer 2017.

 

2016

34. Automatic Summarization of Student Course Feedback
    Wencan Luo, Fei Liu, Zitao Liu and Diane Litman
    In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), San Diego, California, 2016. Acceptance rate 182/680=27%. (Oral Presentation)
35. An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses
    Wencan Luo, Fei Liu, Diane Litman
    In Proceedings of the 26th International Conference on Computational Linguistics (COLING), Osaka, Japan, 2016. Acceptance rate 337/1039=32.4%. (Oral Presentation)
36. Modeling Language Vagueness in Privacy Policies using Deep Neural Networks
    Fei Liu, Nicole Fella, and Kexin Liao
    Accepted by the AAAI 2016 Fall Symposium on Privacy and Language Technologies, Washington, D.C., 2016. (Oral Presentation)
    Download Model for Visualizing Language Vagueness
37. Crowdsourcing Annotations for Websites’ Privacy Policies: Can It Really Work?
    Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman Sadeh, Fei Liu, Noah A. Smith, Frederick Liu
    In Proceedings of the 25th International World Wide Web Conference (WWW), Montreal, Canada, 2016. Acceptance rate 5/727=0.7%. (Oral Presentation)
    [Best Paper Finalist]

 

2015

38. Extractive Summarization by Maximizing Semantic Volume
    Dani Yogatama, Fei Liu, and Noah A. Smith
    In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), Lisboa, Portugal, 2015. Acceptance rate 312/1300=24%.
39. Toward Abstractive Summarization Using Semantic Representations
    Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, and Noah A. Smith
    In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Denver, Colorado, 2015. Acceptance rate 186/714=26%. (Oral Presentation)
40. Disagreeable Privacy Policies: Mismatches between Meaning and Users’ Understanding
    J. Reidenberg, T.D. Breaux, L.F. Cranor, B. French, A. Grannis, J.T. Graves, F. Liu, A.M. McDonald, T.B. Norton, R. Ramanath, N.C. Russell, N. Sadeh, F. Schaub
    Berkeley Law Technology Journal, Vol. 30, No. 1, 2015

 

2014

41. Improving Multi-document Summarization by Sentence Compression based on Expanded Constituent Parse Tree
    Chen Li, Yang Liu, Fei Liu, Lin Zhao, Fuliang Weng
    In Proceedings of the 2014 Conference on Empirical Methods on Natural Language Processing (EMNLP), Doha, Qatar, 2014. Acceptance rate 225/790=28%.
42. A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements
    Fei Liu, Rohan Ramanath, Norman Sadeh, and Noah A. Smith
    In Proceedings of the 25th International Conference on Computational Linguistics (COLING), Dublin, Ireland, 2014. Acceptance rate 217/705=31%. (Oral Presentation)
    Download Privacy Policy Dataset
43. Unsupervised Alignment of Privacy Policies using Hidden Markov Models
    Rohan Ramanath, Fei Liu, Norman Sadeh, and Noah A. Smith
    In Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics (ACL), Baltimore, Maryland, 2014. Acceptance rate 285/1123=25%.
44. Disagreeable Privacy Policies: Mismatches between Meaning and Users’ Understanding
    J. Reidenberg, T. Breaux, L. F. Cranor, B. French, A. Grannis, J. T. Graves, F. Liu, A. M. McDonald, T. B. Norton, R. Ramanath, N. C. Russell, N. Sadeh, F. Schaub
    In Proceedings of the 42nd Research Conference on Communication, Information and Internet Policy (TPRC), Arlington, Virginia, 2014.

 

2013

45. Document Summarization via Guided Sentence Compression
    Chen Li, Fei Liu, Fuliang Weng, and Yang Liu
    Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), Seattle, Washington, 2013. Acceptance rate 205/772=27%.
46. A Participant-based Approach for Event Summarization Using Twitter Streams
    Chao Shen, Fei Liu, Fuliang Weng, and Tao Li
    In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Atlanta, Georgia, 2013. Acceptance rate 146/455=32%. (Oral Presentation)
47. Towards Abstractive Speech Summarization: Exploring Unsupervised and Supervised Approaches for Spoken Utterance Compression
    Fei Liu and Yang Liu
    IEEE Transactions on Audio, Speech and Language Processing, Vol. 21, No. 7, pp. 1469-1480, March 2013
    

 

2012

48. A Broad-Coverage Normalization System for Social Media Language
    Fei Liu, Fuliang Weng, and Xiao Jiang
    In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL), Jeju Island, South Korea, 2012. Acceptance rate 187/940=20%.
    Download Text Normalization Dataset

 

2011

49. Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision
    Fei Liu, Fuliang Weng, Bingqing Wang, and Yang Liu
    In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL), Portland, Oregon, 2011. Acceptance rate 292/1146=25%. (Oral Presentation)
50. Why is “SXSW” trending? Exploring Multiple Text Sources for Twitter Topic Summarization
    Fei Liu, Yang Liu, and Fuliang Weng
    In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Workshop on Language and Social Media (ACL LSM), Portland, Oregon, 2011
51. Learning from Chinese-English Parallel Data for Chinese Tense Prediction
    Feifan Liu, Fei Liu, and Yang Liu
    In Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP), Chiang Mai, Thailand, 2011. Acceptance rate 176/478=36%.
52. A Supervised Framework for Keyword Extraction from Meeting Transcripts
    Fei Liu, Feifan Liu, and Yang Liu
    IEEE Transactions on Audio, Speech and Language Processing, Vol. 19, No. 3, pp. 538-548, March 2011

 

2010

53. Using Spoken Utterance Compression for Meeting Summarization: A Pilot Study
    Fei Liu and Yang Liu
    In Proceedings of the 2010 IEEE Workshop on Spoken Language Technology (IEEE SLT), Berkeley, California, 2010
54. Exploring Speaker Characteristics for Meeting Summarization
    Fei Liu and Yang Liu
    In Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH), Chiba, Japan, 2010. Acceptance rate 771/1324=58%.
55. Using N-best Recognition Output for Extractive Summarization and Keyword Extraction in Meeting Speech
    Yang Liu, Shasha Xie, and Fei Liu
    In Proceedings of the 2010 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dallas, Texas. Acceptance rate 1356/2855=48%.

 

2009

56. From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression?
    Fei Liu, Yang Liu
    Proceedings of Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing (ACL), Singapore, 2009. Acceptance rate 214/925=23%. (Oral Presentation)
57. Unsupervised Approaches To Automatic Keyword Extraction Using Meeting Transcripts
    Feifan Liu, Deana Pennell, Fei Liu, Yang Liu
    In Proceedings of the 2009 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Boulder, Colorado, 2009. Acceptance rate 146/438=33%. (Oral Presentation)

 

2008

58. Automatic Keyword Extraction For the Meeting Corpus Using Supervised Approach and Bigram Expansion
    Fei Liu, Feifan Liu, Yang Liu
    In Proceedings of the 2008 IEEE Workshop on Spoken Language Technology (IEEE SLT), Goa, India, 2008.
59. What are Meeting Summaries? An Analysis of Human Extractive Summaries in Meeting Corpus
    Fei Liu, Yang Liu
    In Proceedings of the 9th SIGDial Meeting on Discourse and Dialogue (SIGDIAL), Columbus, Ohio, 2008
60. Using Multiple Combined Ranker for Answering Definitional Questions.
    Junkuo Cao, Lide Wu, Xuanjing Huang, Yaqian Zhou, Fei Liu
    In Proceedings of the 4th Asia Information Retrieval Symposium (AIRS), Harbin, China, 2008
61. Approach for Extracting Thematic Terms Based on Association Rules. (in Chinese)
    Fei Liu, Xuanjing Huang, Lide Wu
    Journal of Computer Engineering, 2008

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Patent Applications

1. System And Method For Dialog-Enabled Context-Dependent and User-Centric Content Presentation
   Fuliang Weng, Xu Kui, Fei Liu, Lin Zhao, Zhe Feng, Zhongnan Shen
   Patent App. PCT/US2014/06969, filed by Robert Bosch LLC, Jun 2015
2. System And Method For Event Summarization Using Observer Social Media Messages
   Fei Liu, Fuliang Weng, Chao Shen, Lin Zhao
   U.S. Patent App. 14/105,233, filed by Robert Bosch LLC, Dec 2013
3. Broad-Coverage Normalization System For Social Media Language
   Fei Liu, Fuliang Weng
   U.S. Patent App. 13/779,083, filed by Robert Bosch LLC, Feb 2013. Issued in Oct 2015.
4. Method and System for Text Message Normalization Based on Character Transformation and Web Data
   Fei Liu, Fuliang Weng
   U.S. Patent App. 13/117,330, filed by Robert Bosch LLC, Nov 2012

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Technical Reports and Others

1. Reports on the 2016 AAAI Fall Symposium Series
   Patrícia Alves-Oliveira, Richard G. Freedman, Dan Grollman, Laura Herlant, Laura Humphrey, Fei Liu, Ross Mead, Frank Stein, Tom Williams, Shomir Wilson
   AI Magazine, Vol. 38, No. 2, pp. 86–90, June 2017
2. Identifying the Gist of Conversational Text: Automatic Keyword Extraction and Summarization
   Fei Liu, The University of Texas at Dallas, April 2011 (PhD Dissertation)
3. Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations
   Rohan Ramanath, Florian Schaub, Shomir Wilson, Fei Liu, Norman Sadeh, Noah A Smith
   Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2014), Pittsburgh, Pennsylvania, 2014
4. The Usable Privacy Policy Project: Combining Crowdsourcing, Machine Learning and Natural Language Processing to Semi-automatically Answer Those Privacy Questions Users Care About
   Norman Sadeh, Alessandro Acquisti, Travis Breaux, Lorrie Cranor, Aleecia McDonald, Joel Reidenberg, Noah Smith, Fei Liu, Cameron Russel, Florian Schaub, Shomir Wilson
   Technical Report CMU-ISR-13-119, Carnegie Mellon University