List-only Entity Linking

Ying Lin, Chin-Yew Lin, Heng Ji


Abstract
Traditional Entity Linking (EL) technologies rely on rich structures and properties in the target knowledge base (KB). However, in many applications, the KB may be as simple and sparse as lists of names of the same type (e.g., lists of products). We call it as List-only Entity Linking problem. Fortunately, some mentions may have more cues for linking, which can be used as seed mentions to bridge other mentions and the uninformative entities. In this work, we select most linkable mentions as seed mentions and disambiguate other mentions by comparing them with the seed mentions rather than directly with the entities. Our experiments on linking mentions to seven automatically mined lists show promising results and demonstrate the effectiveness of our approach.
Anthology ID:
P17-2085
Volume:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
July
Year:
2017
Address:
Vancouver, Canada
Editors:
Regina Barzilay, Min-Yen Kan
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
536–541
Language:
URL:
https://aclanthology.org/P17-2085
DOI:
10.18653/v1/P17-2085
Bibkey:
Cite (ACL):
Ying Lin, Chin-Yew Lin, and Heng Ji. 2017. List-only Entity Linking. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 536–541, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
List-only Entity Linking (Lin et al., ACL 2017)
Copy Citation:
PDF:
https://aclanthology.org/P17-2085.pdf