A Practical Entity Linking System for Tables in Scientific Literature

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dc.contributor.authorMulwad, Varish
dc.contributor.authorFinin, Tim
dc.contributor.authorKumar, Vijay S.
dc.contributor.authorWilliams, Jenny Weisenberg
dc.contributor.authorDixit, Sharad
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2023-09-06T13:02:20Z
dc.date.available2023-09-06T13:02:20Z
dc.date.issued2023-02-17
dc.description3rd Workshop on Scientific Document Understanding, AAAI, February 2023, Washington DC, USA.en_US
dc.description.abstractEntity linking is an important step towards constructing knowledge graphs that facilitate advanced question answering over scientific documents—including the retrieval of relevant information included in tables within these documents. This paper introduces a general-purpose system for linking entities to items in the Wikidata knowledge base. It describes how we adapt this system for linking domain-specific entities, especially for those entities embedded within tables drawn from COVID-19-related scientific literature. We describe the setup of an efficient offline instance of the system that enables our entity-linking approach to be more feasible in practice. As part of a broader approach to infer the semantic meaning of scientific tables, we leverage the structural and semantic characteristics of the tables to improve overall entity linking performance.en_US
dc.description.sponsorshipThis research is based on work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via [2021-21022600004]. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of ODNI, IARPA, or the U.S. Government.en_US
dc.description.urihttps://ceur-ws.org/Vol-3656/paper6.pdfen_US
dc.format.extent6 pagesen_US
dc.format.extent13 min 25 sec
dc.format.extent22 slides
dc.genreconference papers and proceedingsen_US
dc.genrepreprintsen_US
dc.genrepresentations (communicative events)en_US
dc.genrevideo recordingsen_US
dc.identifierdoi:10.13016/m2qqnu-ljss
dc.identifier.citationMulwad, Varish. “A Practical Entity Linking System for Tables in Scientific Literature,” Third AAAI Workshop on Scientific Document Understanding, 2023. 2023. https://ceur-ws.org/Vol-3656/paper6.pdf
dc.identifier.urihttp://hdl.handle.net/11603/29547
dc.language.isoen_USen_US
dc.publisherAAAI
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsAttribution 4.0 International (CC BY 4.0) en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleA Practical Entity Linking System for Tables in Scientific Literatureen_US
dc.typeMoving Imageen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-6593-1792en_US
dcterms.creatorhttps://orcid.org/0000-0002-8641-3193en_US

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