Bei Yu

39 papers A* 3A 3B 1Misc 1Journal 6Unranked 23
YearRankTypeTitle / Venue / Authors
2023 — conf
Can ChatGPT Understand Causal Language in Science Claims?
WASSA@ACL
Yuheun Kim, Lu Guo, Bei Yu, Yingya Li
2022 — conf
Advice Giving in Medical Research Literature.
iConference (2)
Yingya Li, Bei Yu
2021 — conf
Detecting Health Advice in Medical Research Literature.
EMNLP (1)
Yingya Li, Jun Wang, Bei Yu
2021 J jnl
Interventions to support consumer evaluation of online health information credibility: A scoping review.
Int. J. Medical Informatics
Shijie Song, Yan Zhang, Bei Yu
2021 J jnl
Linking Health News to Research Literature.
CoRR
Jun Wang, Bei Yu
2021 A* conf
News2PubMed: A Browser Extension for Linking Health News to Medical Literature.
SIGIR
Jun Wang, Bei Yu
2021 — conf
Self Promotion in US Congressional Tweets.
NAACL-HLT
Jun Wang, Kelly Cui, Bei Yu
2020 — conf
Information Quality of Reddit Link Posts on Health News.
iConference
Haichen Zhou, Bei Yu
2020 B conf
Measuring Correlation-to-Causation Exaggeration in Press Releases.
COLING
Bei Yu, Jun Wang, Lu Guo, Yingya Li
2019 — conf
Detecting Causal Language Use in Science Findings.
EMNLP/IJCNLP (1)
Bei Yu, Yingya Li, Jun Wang
2019 J jnl
HClaimE: A tool for identifying health claims in health news headlines.
Inf. Process. Manag.
Shi Yuan, Bei Yu
2019 — conf
Identifying Finding Sentences in Conclusion Subsections of Biomedical Abstracts.
iConference
Yingya Li, Bei Yu
2019 J jnl
Toward Training and Assessing Reproducible Data Analysis in Data Science Education.
Data Intell.
Bei Yu, Xiao Hu
2018 — conf
An Evaluation of Information Extraction Tools for Identifying Health Claims in News Headlines.
EventStory@Coling
Shi Yuan, Bei Yu
2018 — conf
Auto-Tracking Controversial Topics in Social-Media-Based Customer Dialog: A Case Study on Starbucks.
iConference
Bei Yu, Yihan Yu
2018 — conf
Knowledge Node and Relation Detection.
NKOS@TPDL
Jian Qin, Bei Yu, Liya Wang
2017 — conf
An NLP Analysis of Exaggerated Claims in Science News.
NLPmJ@EMNLP
Yingya Li, Jieke Zhang, Bei Yu
2017 — conf
Teaching information science and technology to the world? Practices, challenges and visions.
ASIST
Xiao Hu, Bei Yu, Sue Alman, Allen H. Renear, Toni Carbo
2016 — ed.
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.
INRA@RecSys
Jon Atle Gulla, Bei Yu, Özlem Özgöbek, Nafiseh Shabib
2016 A conf
Topic modeling for evaluating students' reflective writing: a case study of pre-service teachers' journals.
LAK
Ye Chen, Bei Yu, Xuewei Zhang, Yihan Yu
2015 A conf
3rd International Workshop on News Recommendation and Analytics (INRA 2015).
RecSys
Jon Atle Gulla, Bei Yu, Özlem Özgöbek, Nafiseh Shabib
2014 — conf
Classifying Negative Findings in Biomedical Publications.
BioNLP@ACL
Bei Yu, Daniele Fanelli
2014 J jnl
Language and gender in Congressional speech.
Lit. Linguistic Comput.
Bei Yu
2013 — conf
Automated citation sentiment analysis: What can we learn from biomedical researchers.
ASIST
Bei Yu
2012 — conf
Collecting Representative Pictures for Words: A Human Computation Approach Based on Draw Something Game.
HCOMP@AAAI
Jun Wang, Bei Yu
2012 — conf
Function Words for Chinese Authorship Attribution.
CLfL@NAACL-HLT
Bei Yu
2011 — conf
Exploring The Relationship Between Mood and Creativity in Rock Lyrics.
ISMIR
Xiao Hu, Bei Yu
2011 — conf
The emotional world of health online communities.
iConference
Bei Yu
2011 — conf
Toward Predicting Popularity of Social Marketing Messages.
SBP
Bei Yu, Miao Chen, Linchi Kwok
2010 — conf
Collecting legacy corpora from social science research for text mining evaluation.
ASIST
Bei Yu, Min-Chun Ku
2010 — conf
Sentence recall game: a novel tool for collecting data to discover language usage patterns.
HCOMP@KDD
Jun Wang, Bei Yu
2009 — ed.
Proceedings of the 1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion, TSA '09, Hong Kong, SAR, China, November 6, 2009
TSA@CIKM
Maojin Jiang, Bei Yu
2009 A conf
TSA'09 workshop summary: topic-sentiment analysis.
CIKM
Bei Yu, Maojin Jiang
2008 J jnl
An evaluation of text classification methods for literary study.
Lit. Linguistic Comput.
Bei Yu
2008 — conf
Exploring the characteristics of opinion expressions for political opinion classification.
DG.O
Bei Yu, Stefan Kaufmann, Daniel Diermeier
2008 Misc conf
Strangeness-based feature weighting and classification of gene expression profiles.
SAC
Haifeng Shao, Bei Yu, Joseph H. Nadeau
2006 — conf
Exploring erotics in Emily Dickinson's correspondence with text mining and visual interfaces.
JCDL
Catherine Plaisant, James Rose, Bei Yu, Loretta Auvil, Matthew G. Kirschenbaum, Martha Nell Smith, Tanya E. Clement, Greg Lord
2004 A* conf
A cross-collection mixture model for comparative text mining.
KDD
ChengXiang Zhai, Atulya Velivelli, Bei Yu
2002 A* conf
Concept Tree Based Clustering Visualization with Shaded Similarity Matrices.
ICDM
Jun Wang, Bei Yu, Les Gasser