Team UMBC-FEVER: Claim verification using Semantic Lexical Resources
dc.contributor.author | Padia, Ankur | |
dc.contributor.author | Ferraro, Francis | |
dc.contributor.author | Finin, Tim | |
dc.date.accessioned | 2018-11-13T15:44:05Z | |
dc.date.available | 2018-11-13T15:44:05Z | |
dc.date.issued | 2018-11-01 | |
dc.description | Proceedings of the First Workshop on Fact Extraction and Verification | en_US |
dc.description.abstract | We describe our system used in the 2018 FEVER shared task. The system employed a frame-based information retrieval approach to select Wikipedia sentences providing evidence and used a two-layer multilayer perceptron to classify a claim as correct or not. Our submission achieved a score of 0.3966 on the Evidence F1 metric with accuracy of 44.79%, and FEVER score of 0.2628 F1 points. | en_US |
dc.description.sponsorship | This research was partially supported by gifts from the IBM AI Horizons Network and Northrop Grumman and by support from the U.S. National Science Foundation for UMBC’s high performance computing environment. | en_US |
dc.description.uri | https://www.aclweb.org/anthology/W18-5527/ | en_US |
dc.format.extent | 5 pages | en_US |
dc.genre | conference papers and proceedings | en_US |
dc.identifier | doi:10.13016/M2XS5JM5Z | |
dc.identifier.uri | http://hdl.handle.net/11603/11967 | |
dc.identifier.uri | http://dx.doi.org/10.18653/v1/W18-5527 | |
dc.language.iso | en_US | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC Student Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Claim | en_US |
dc.subject | Semantic Web | en_US |
dc.subject | fact verification | en_US |
dc.subject | natural language processing | en_US |
dc.subject | Lexical Resources | en_US |
dc.subject | UMBC Ebiquity Research Group | en_US |
dc.subject | UMBC Ebiquity Research Group | |
dc.title | Team UMBC-FEVER: Claim verification using Semantic Lexical Resources | en_US |
dc.type | Text | en_US |