Login / Signup
Bei Yu
ORCID
Publication Activity (10 Years)
Years Active: 2006-2023
Publications (10 Years): 14
Top Topics
Health Information
News Recommendation
Information Quality
Medical Literature
Top Venues
iConference
NLPmJ@EMNLP
ASIST
Inf. Process. Manag.
</>
Publications
</>
Yuheun Kim
,
Lu Guo
,
Bei Yu
,
Yingya Li
Can ChatGPT Understand Causal Language in Science Claims?
WASSA@ACL
(2023)
Yingya Li
,
Bei Yu
Advice Giving in Medical Research Literature.
iConference (2)
(2022)
Shijie Song
,
Yan Zhang
,
Bei Yu
Interventions to support consumer evaluation of online health information credibility: A scoping review.
Int. J. Medical Informatics
145 (2021)
Yingya Li
,
Jun Wang
,
Bei Yu
Detecting Health Advice in Medical Research Literature.
EMNLP (1)
(2021)
Jun Wang
,
Bei Yu
News2PubMed: A Browser Extension for Linking Health News to Medical Literature.
SIGIR
(2021)
Haichen Zhou
,
Bei Yu
Information Quality of Reddit Link Posts on Health News.
iConference
(2020)
Bei Yu
,
Jun Wang
,
Lu Guo
,
Yingya Li
Measuring Correlation-to-Causation Exaggeration in Press Releases.
COLING
(2020)
Shi Yuan
,
Bei Yu
HClaimE: A tool for identifying health claims in health news headlines.
Inf. Process. Manag.
56 (4) (2019)
Yingya Li
,
Bei Yu
Identifying Finding Sentences in Conclusion Subsections of Biomedical Abstracts.
iConference
(2019)
Bei Yu
,
Yingya Li
,
Jun Wang
Detecting Causal Language Use in Science Findings.
EMNLP/IJCNLP (1)
(2019)
Bei Yu
,
Xiao Hu
Toward Training and Assessing Reproducible Data Analysis in Data Science Education.
Data Intell.
1 (4) (2019)
Bei Yu
,
Yihan Yu
Auto-Tracking Controversial Topics in Social-Media-Based Customer Dialog: A Case Study on Starbucks.
iConference
(2018)
Yingya Li
,
Jieke Zhang
,
Bei Yu
An NLP Analysis of Exaggerated Claims in Science News.
NLPmJ@EMNLP
(2017)
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)
Jon Atle Gulla
,
Bei Yu
,
Özlem Özgöbek
,
Nafiseh Shabib
3rd International Workshop on News Recommendation and Analytics (INRA 2015).
RecSys
(2015)
Bei Yu
Language and gender in Congressional speech.
Lit. Linguistic Comput.
29 (1) (2014)
Bei Yu
Automated citation sentiment analysis: What can we learn from biomedical researchers.
ASIST
(2013)
Bei Yu
The emotional world of health online communities.
iConference
(2011)
Bei Yu
,
Miao Chen
,
Linchi Kwok
Toward Predicting Popularity of Social Marketing Messages.
SBP
(2011)
Jun Wang
,
Bei Yu
Sentence recall game: a novel tool for collecting data to discover language usage patterns.
HCOMP@KDD
(2010)
Bei Yu
,
Min-Chun Ku
Collecting legacy corpora from social science research for text mining evaluation.
ASIST
(2010)
Bei Yu
,
Maojin Jiang
TSA'09 workshop summary: topic-sentiment analysis.
CIKM
(2009)
Bei Yu
An evaluation of text classification methods for literary study.
Lit. Linguistic Comput.
23 (3) (2008)
Haifeng Shao
,
Bei Yu
,
Joseph H. Nadeau
Strangeness-based feature weighting and classification of gene expression profiles.
SAC
(2008)
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)