TY - GEN
T1 - News2PubMed
T2 - 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021
AU - Wang, Jun
AU - Yu, Bei
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/7/11
Y1 - 2021/7/11
N2 - This demo system presents a browser extension that allows the reader of a health news article to quickly retrieve related medical/health research papers. This system can help news editors and readers fact-check health news for incorrect or exaggerated claims, such as making causal claims from correlational findings or inference of animal studies to humans. Linking health news to the original research papers is not a trivial task, as links are largely missing in science news reports. To link health news to medical literature, our system includes a new named-entity recognition function to extract journal names, and a new Elasticsearch-based search engine to incorporate rich metadata into the search strategy. This paper also introduces a new dataset for evaluating the performance of the proposed search system.
AB - This demo system presents a browser extension that allows the reader of a health news article to quickly retrieve related medical/health research papers. This system can help news editors and readers fact-check health news for incorrect or exaggerated claims, such as making causal claims from correlational findings or inference of animal studies to humans. Linking health news to the original research papers is not a trivial task, as links are largely missing in science news reports. To link health news to medical literature, our system includes a new named-entity recognition function to extract journal names, and a new Elasticsearch-based search engine to incorporate rich metadata into the search strategy. This paper also introduces a new dataset for evaluating the performance of the proposed search system.
KW - browser extension
KW - elastic search engine
KW - health news
KW - literature linking
KW - named-entity recognition
KW - sentence classification
UR - http://www.scopus.com/inward/record.url?scp=85111184172&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85111184172&partnerID=8YFLogxK
U2 - 10.1145/3404835.3462788
DO - 10.1145/3404835.3462788
M3 - Conference contribution
AN - SCOPUS:85111184172
T3 - SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 2605
EP - 2609
BT - SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery, Inc
Y2 - 11 July 2021 through 15 July 2021
ER -