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ORCIDBei Yu 0002
Person information
- affiliation: Syracuse University, School of Information Studies, Syracuse, NY, USA
- affiliation (2006 - 2009): Northwestern University, Evanston, IL, USA
- affiliation (PhD 2006): University of Illinois at Urbana-Champaign, Graduate School of Library and Information Science, Urbana, IL, USA
Other persons with the same name
- Bei Yu — disambiguation page
- Bei Yu 0001
![[0000-0001-6406-4810]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6406-4810")
— Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (and 1 more) - Bei Yu 0003 — National University of Singapore, Singapore-MIT Alliance, School of Computing, Singapore
- Bei Yu 0004 — State Grid Electronic Commerce Co., Ltd, State Grid Huitong Jincai, State Grid Financial Technology Group, Beijing, China
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2020 – today
- 2023
[c31]Yuheun Kim, Lu Guo, Bei Yu, Yingya Li:
Can ChatGPT Understand Causal Language in Science Claims? WASSA@ACL 2023: 379-389- 2022
- [c30]Yingya Li, Bei Yu:
Advice Giving in Medical Research Literature. iConference (2) 2022: 261-272 - 2021
- [j5]Shijie Song, Yan Zhang, Bei Yu:
Interventions to support consumer evaluation of online health information credibility: A scoping review. Int. J. Medical Informatics 145: 104321 (2021) - [c29]Yingya Li, Jun Wang, Bei Yu:
Detecting Health Advice in Medical Research Literature. EMNLP (1) 2021: 6018-6029 - [c28]Jun Wang, Kelly Cui, Bei Yu:
Self Promotion in US Congressional Tweets. NAACL-HLT 2021: 4893-4899 - [c27]Jun Wang, Bei Yu:
News2PubMed: A Browser Extension for Linking Health News to Medical Literature. SIGIR 2021: 2605-2609 - [i1]Jun Wang, Bei Yu:
Linking Health News to Research Literature. CoRR abs/2107.06472 (2021) - 2020
- [c26]Bei Yu, Jun Wang, Lu Guo, Yingya Li:
Measuring Correlation-to-Causation Exaggeration in Press Releases. COLING 2020: 4860-4872 - [c25]Haichen Zhou, Bei Yu:
Information Quality of Reddit Link Posts on Health News. iConference 2020: 186-197
2010 – 2019
- 2019
- [j4]Bei Yu, Xiao Hu:
Toward Training and Assessing Reproducible Data Analysis in Data Science Education. Data Intell. 1(4): 381-392 (2019) - [j3]Shi Yuan, Bei Yu:
HClaimE: A tool for identifying health claims in health news headlines. Inf. Process. Manag. 56(4): 1220-1233 (2019) - [c24]Bei Yu, Yingya Li, Jun Wang:
Detecting Causal Language Use in Science Findings. EMNLP/IJCNLP (1) 2019: 4663-4673 - [c23]Yingya Li, Bei Yu:
Identifying Finding Sentences in Conclusion Subsections of Biomedical Abstracts. iConference 2019: 679-689 - 2018
- [c22]Shi Yuan, Bei Yu:
An Evaluation of Information Extraction Tools for Identifying Health Claims in News Headlines. EventStory@Coling 2018: 34-43 - [c21]Jian Qin, Bei Yu, Liya Wang:
Knowledge Node and Relation Detection. NKOS@TPDL 2018: 29-44 - [c20]Bei Yu, Yihan Yu:
Auto-Tracking Controversial Topics in Social-Media-Based Customer Dialog: A Case Study on Starbucks. iConference 2018: 87-96 - 2017
- [c19]Xiao Hu, Bei Yu, Sue Alman, Allen H. Renear, Toni Carbo:
Teaching information science and technology to the world? Practices, challenges and visions. ASIST 2017: 566-569 - [c18]Yingya Li, Jieke Zhang, Bei Yu:
An NLP Analysis of Exaggerated Claims in Science News. NLPmJ@EMNLP 2017: 106-111 - 2016
- [c17]Ye Chen, Bei Yu, Xuewei Zhang, Yihan Yu:
Topic modeling for evaluating students' reflective writing: a case study of pre-service teachers' journals. LAK 2016: 1-5 - [e2]Jon Atle Gulla, Bei Yu, Özlem Özgöbek, Nafiseh Shabib:
Proceedings of the 3rd International Workshop on News Recommendation and Analytics (INRA 2015) co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 20, 2015. CEUR Workshop Proceedings 1542, CEUR-WS.org 2016 [contents] - 2015
- [c16]Jon Atle Gulla, Bei Yu, Özlem Özgöbek, Nafiseh Shabib:
3rd International Workshop on News Recommendation and Analytics (INRA 2015). RecSys 2015: 345-346 - 2014
- [j2]Bei Yu:
Language and gender in Congressional speech. Lit. Linguistic Comput. 29(1): 118-132 (2014) - [c15]Bei Yu, Daniele Fanelli:
Classifying Negative Findings in Biomedical Publications. BioNLP@ACL 2014: 19-23 - 2013
- [c14]Bei Yu:
Automated citation sentiment analysis: What can we learn from biomedical researchers. ASIST 2013: 1-9 - 2012
- [c13]Bei Yu:
Function Words for Chinese Authorship Attribution. CLfL@NAACL-HLT 2012: 45-53 - [c12]Jun Wang, Bei Yu:
Collecting Representative Pictures for Words: A Human Computation Approach Based on Draw Something Game. HCOMP@AAAI 2012 - 2011
- [c11]Bei Yu:
The emotional world of health online communities. iConference 2011: 806-807 - [c10]Xiao Hu, Bei Yu:
Exploring The Relationship Between Mood and Creativity in Rock Lyrics. ISMIR 2011: 789-794 - [c9]Bei Yu, Miao Chen, Linchi Kwok:
Toward Predicting Popularity of Social Marketing Messages. SBP 2011: 317-324 - 2010
- [c8]Bei Yu, Min-Chun Ku:
Collecting legacy corpora from social science research for text mining evaluation. ASIST 2010: 1-2 - [c7]Jun Wang, Bei Yu:
Sentence recall game: a novel tool for collecting data to discover language usage patterns. HCOMP@KDD 2010: 56-59
2000 – 2009
- 2009
- [c6]Bei Yu, Maojin Jiang:
TSA'09 workshop summary: topic-sentiment analysis. CIKM 2009: 2115-2116 - [e1]Maojin Jiang, Bei Yu:
Proceedings of the 1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion, TSA '09, Hong Kong, SAR, China, November 6, 2009. ACM 2009, ISBN 978-1-60558-805-6 [contents] - 2008
- [j1]Bei Yu:
An evaluation of text classification methods for literary study. Lit. Linguistic Comput. 23(3): 327-343 (2008) - [c5]Bei Yu, Stefan Kaufmann, Daniel Diermeier:
Exploring the characteristics of opinion expressions for political opinion classification. DG.O 2008: 82-91 - [c4]Haifeng Shao, Bei Yu, Joseph H. Nadeau:
Strangeness-based feature weighting and classification of gene expression profiles. SAC 2008: 1292-1296 - 2006
- [c3]Catherine Plaisant, James Rose, Bei Yu, Loretta Auvil, Matthew G. Kirschenbaum, Martha Nell Smith, Tanya E. Clement, Greg Lord:
Exploring erotics in Emily Dickinson's correspondence with text mining and visual interfaces. JCDL 2006: 141-150 - 2004
- [c2]ChengXiang Zhai, Atulya Velivelli, Bei Yu:
A cross-collection mixture model for comparative text mining. KDD 2004: 743-748 - 2002
- [c1]Jun Wang, Bei Yu, Les Gasser:
Concept Tree Based Clustering Visualization with Shaded Similarity Matrices. ICDM 2002: 697-700
Coauthor Index
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