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
- Venue:
- DaSH
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.dash-1.6.pdf