@inproceedings{klie-etal-2021-human,
title = "Human-In-The-{L}oop{E}ntity Linking for Low Resource Domains",
author = "Klie, Jan-Christoph and
Eckart de Castilho, Richard and
Gurevych, Iryna",
editor = "Dragut, Eduard and
Li, Yunyao and
Popa, Lucian and
Vucetic, Slobodan",
booktitle = "Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.dash-1.6",
doi = "10.18653/v1/2021.dash-1.6",
pages = "41--43",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Human-In-The-LoopEntity Linking for Low Resource Domains
%A Klie, Jan-Christoph
%A Eckart de Castilho, Richard
%A Gurevych, Iryna
%Y Dragut, Eduard
%Y Li, Yunyao
%Y Popa, Lucian
%Y Vucetic, Slobodan
%S Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F klie-etal-2021-human
%X 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.
%R 10.18653/v1/2021.dash-1.6
%U https://aclanthology.org/2021.dash-1.6
%U https://doi.org/10.18653/v1/2021.dash-1.6
%P 41-43
Markdown (Informal)
[Human-In-The-LoopEntity Linking for Low Resource Domains](https://aclanthology.org/2021.dash-1.6) (Klie et al., DaSH 2021)
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.