arXiv Open Access 2023

A Practical Entity Linking System for Tables in Scientific Literature

Varish Mulwad Tim Finin Vijay S. Kumar Jenny Weisenberg Williams Sharad Dixit +1 lainnya

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Abstrak

Entity 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.

Topik & Kata Kunci

cs.IR cs.AI cs.CL

Penulis (6)

Varish Mulwad

Tim Finin

Vijay S. Kumar

Jenny Weisenberg Williams

Sharad Dixit

Anupam Joshi

Format Sitasi

APA MLA BibTeX

Mulwad, V., Finin, T., Kumar, V.S., Williams, J.W., Dixit, S., Joshi, A. (2023). A Practical Entity Linking System for Tables in Scientific Literature. https://arxiv.org/abs/2306.10044

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓