Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55394
Title: A hierarchical knowledge representation for expert finding on social media
Authors: Li, Y
Li, W 
Li, S
Issue Date: 2015
Publisher: Association for Computational Linguistics (ACL)
Source: ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference, 26-31 July 2015, v. 2, p. 616-622 How to cite?
Abstract: Expert finding on social media benefits both individuals and commercial services. In this paper, we exploit a 5-level tree representation to model the posts on social media and cast the expert finding problem to the matching problem between the learned user tree and domain tree. We enhance the traditional approximate tree matching algorithm and incorporate word embeddings to improve the matching result. The experiments conducted on Sina Microblog demonstrate the effectiveness of our work.
URI: http://hdl.handle.net/10397/55394
ISBN: 9781941643730
Appears in Collections:Conference Paper

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