Context-enhanced Adaptive Entity Linking

Filip Ilievski, Giuseppe Rizzo, Marieke van Erp, Julien Plu, Raphaël Troncy


Abstract
More and more knowledge bases are publicly available as linked data. Since these knowledge bases contain structured descriptions of real-world entities, they can be exploited by entity linking systems that anchor entity mentions from text to the most relevant resources describing those entities. In this paper, we investigate adaptation of the entity linking task using contextual knowledge. The key intuition is that entity linking can be customized depending on the textual content, as well as on the application that would make use of the extracted information. We present an adaptive approach that relies on contextual knowledge from text to enhance the performance of ADEL, a hybrid linguistic and graph-based entity linking system. We evaluate our approach on a domain-specific corpus consisting of annotated WikiNews articles.
Anthology ID:
L16-1086
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
541–548
Language:
URL:
https://aclanthology.org/L16-1086
DOI:
Bibkey:
Cite (ACL):
Filip Ilievski, Giuseppe Rizzo, Marieke van Erp, Julien Plu, and Raphaël Troncy. 2016. Context-enhanced Adaptive Entity Linking. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 541–548, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Context-enhanced Adaptive Entity Linking (Ilievski et al., LREC 2016)
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PDF:
https://aclanthology.org/L16-1086.pdf