Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content
Refereed conference paper presented and published in conference proceedings

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AbstractWe investigate the task of ad-hoc entity retrieval from a knowledge graph with hierarchical entity types and entity descriptions. Our model directly encodes them into a Markov random field based framework via a path aware smoothing method. We conduct experiments on recent benchmark datasets and investigate the incorporation of the Wikipedia type and article information. The results show that our framework achieves improvements over the existing and state-of-the-art models
Acceptance Date14/09/2018
All Author(s) ListXinshi Lin, Wai Lam, Kwun Ping Lai
Name of ConferenceACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2018
Start Date of Conference14/09/2018
End Date of Conference17/09/2018
Place of ConferenceTianjin
Country/Region of ConferenceChina
Proceedings TitleProceedings of the 2018 ACM SIGIR International Conference on the Theory of Information Retrieval
Pages211 - 214
LanguagesEnglish-United Kingdom

Last updated on 2021-25-02 at 01:26