Human-In-The-LoopEntity Linking for Low Resource Domains

Jan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych


Abstract
Entity linking (EL) is concerned with disambiguating entity mentions in a text against knowledge bases (KB). To quickly annotate texts with EL even in low-resource domains and noisy text, we present a novel Human-In-The-Loop EL approach. We show that it greatly outperforms a strong baseline in simulation. In a user study, annotation time is reduced by 35 % compared to annotating without interactive support; users report that they strongly prefer our system over ones without. An open-source and ready-to-use implementation based on the text annotation platform is made available.
Anthology ID:
2021.dash-1.6
Volume:
Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances
Month:
June
Year:
2021
Address:
Online
Venues:
DaSH | NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
41–43
Language:
URL:
https://aclanthology.org/2021.dash-1.6
DOI:
10.18653/v1/2021.dash-1.6
Bibkey:
Cite (ACL):
Jan-Christoph Klie, Richard Eckart de Castilho, and Iryna Gurevych. 2021. Human-In-The-LoopEntity Linking for Low Resource Domains. In Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances, pages 41–43, Online. Association for Computational Linguistics.
Cite (Informal):
Human-In-The-LoopEntity Linking for Low Resource Domains (Klie et al., DaSH 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.dash-1.6.pdf