Towards a Multi-View Attentive Matching for Personalized Expert Finding-Reference-Cited by-同舟云学术

Towards a Multi-View Attentive Matching for Personalized Expert Finding

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Peng Qiyao¹,Liu Hongtao²,Wang Yinghui²,Xu Hongyan²,Jiao Pengfei³,Shao Minglai⁴,Wang Wenjun⁵

Affiliation:

1. School of New Media and Communication, Tianjin University, China

2. College of Intelligence and Computing, Tianjin University, China

3. School of Cyberspace, Hangzhou Dianzi University, China

4. School of New Media and Communication, Tianjin University, China and State Key Laboratory of Communication Content Cognition, China

5. College of Intelligence and Computing, Tianjin University, China and State Key Laboratory of Communication Content Cognition, China

Funder

Sustainable Development Project of Shenzhen

the China Postdoctoral Science Foundation

State Key Laboratory of Communication Content Cognition

the National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512086

Reference33 articles.

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4. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding . In Proceedings of the International Conference on North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics , Minneapolis, Minnesota, 4171–4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the International Conference on North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, Minneapolis, Minnesota, 4171–4186.

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