• DOI:10.18653/v1/D17-1007
Corpus ID: 1125678

Entity Linking for Queries by Searching Wikipedia Sentences

@inproceedings{Tan2017EntityLF,
  title={Entity Linking for Queries by Searching Wikipedia Sentences},
  author={Chuanqi Tan and Furu Wei and Pengjie Ren and W. Lv and M. Zhou},
  booktitle={EMNLP},
  year={2017}
}

Chuanqi Tan, Furu Wei, +2 authors M. Zhou

Published in EMNLP 2017

Computer Science

We present a simple yet effective approach for linking entities in queries. The key idea is to search sentences similar to a query from Wikipedia articles and directly use the human-annotated entities in the similar sentences as candidate entities for the query. Then, we employ a rich set of features, such as link-probability, context-matching, word embeddings, and relatedness among candidate entities as well as their related entities, to rank the candidates under a regression based framework… CONTINUE READING

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