TY - GEN
T1 - OpenTFV
T2 - 2022 ACM SIGMOD International Conference on the Management of Data, SIGMOD 2022
AU - Gu, Zihui
AU - Fan, Ruixue
AU - Zhao, Xiaoman
AU - Zhang, Meihui
AU - Fan, Ju
AU - Du, Xiaoyong
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/6/10
Y1 - 2022/6/10
N2 - The prevalence of misinformation, both online and offline, has prompted a great demand of fact verification. Table-based fact verification aims to check whether a textual claim is supported or refuted based on relational tables. However, most of the existing approaches are in a closed-domain setting, which may not be realistic in practice. To address this problem, in this paper, we introduce OpenTFV, a user-friendly system that supports open domain table-based fact verification. Given a claim input by an end-user, OpenTFV retrieves the relevant tables, and provides a verification result for each table with an intuitive interpretation in natural language. We have implemented OpenTFV and demonstrated OpenTFV in two representative scenarios, COVID-19 claims fact verification based on academic tables and general fact verification on Wiki-tables.
AB - The prevalence of misinformation, both online and offline, has prompted a great demand of fact verification. Table-based fact verification aims to check whether a textual claim is supported or refuted based on relational tables. However, most of the existing approaches are in a closed-domain setting, which may not be realistic in practice. To address this problem, in this paper, we introduce OpenTFV, a user-friendly system that supports open domain table-based fact verification. Given a claim input by an end-user, OpenTFV retrieves the relevant tables, and provides a verification result for each table with an intuitive interpretation in natural language. We have implemented OpenTFV and demonstrated OpenTFV in two representative scenarios, COVID-19 claims fact verification based on academic tables and general fact verification on Wiki-tables.
KW - fact verification
KW - natural language processing
KW - relational tables
UR - http://www.scopus.com/inward/record.url?scp=85132767642&partnerID=8YFLogxK
U2 - 10.1145/3514221.3520163
DO - 10.1145/3514221.3520163
M3 - Conference contribution
AN - SCOPUS:85132767642
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 2405
EP - 2408
BT - SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data
PB - Association for Computing Machinery
Y2 - 12 June 2022 through 17 June 2022
ER -
