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.
Original language | English |
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Title of host publication | 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 |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 616-622 |
Number of pages | 7 |
Volume | 2 |
ISBN (Electronic) | 9781941643730 |
Publication status | Published - 1 Jan 2015 |
Event | 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, ACL-IJCNLP 2015 - Beijing, China Duration: 26 Jul 2015 → 31 Jul 2015 |
Conference
Conference | 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, ACL-IJCNLP 2015 |
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Country/Territory | China |
City | Beijing |
Period | 26/07/15 → 31/07/15 |
ASJC Scopus subject areas
- Artificial Intelligence
- Software
- Language and Linguistics
- Linguistics and Language