Entity Linking within a Social Media Platform: A Case Study on Yelp

Hongliang Dai, Yangqiu Song, Liwei Qiu, Rijia Liu

Abstract
In this paper, we study a new entity linking problem where both the entity mentions and the target entities are within a same social media platform. Compared with traditional entity linking problems that link mentions to a knowledge base, this new problem have less information about the target entities. However, if we can successfully link mentions to entities within a social media platform, we can improve a lot of applications such as comparative study in business intelligence and opinion leader finding. To study this problem, we constructed a dataset called Yelp-EL, where the business mentions in Yelp reviews are linked to their corresponding businesses on the platform. We conducted comprehensive experiments and analysis on this dataset with a learning to rank model that takes different types of features as input, as well as a few state-of-the-art entity linking approaches. Our experimental results show that two types of features that are not available in traditional entity linking: social features and location features, can be very helpful for this task.
Anthology ID:
D18-1227
Volume:
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Month:
October-November
Year:
2018
Address:
Brussels, Belgium
Editors:
Ellen Riloff, David Chiang, Julia Hockenmaier, Jun’ichi Tsujii
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2023–2032
Language:
URL:
https://aclanthology.org/D18-1227
DOI:
10.18653/v1/D18-1227
Bibkey:
Cite (ACL):
Hongliang Dai, Yangqiu Song, Liwei Qiu, and Rijia Liu. 2018. Entity Linking within a Social Media Platform: A Case Study on Yelp. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 2023–2032, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
Entity Linking within a Social Media Platform: A Case Study on Yelp (Dai et al., EMNLP 2018)
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PDF:
https://preview.aclanthology.org/nschneid-patch-3/D18-1227.pdf
Code
 HKUST-KnowComp/ELWSMP
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