Learning to Rank Entities for Set Expansion from Unstructured Data-Reference-Cited by-同舟云学术

Learning to Rank Entities for Set Expansion from Unstructured Data

Published:2020-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval
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Author:

Yu Puxuan¹,Rahimi Razieh¹,Huang Zhiqi¹,Allan James¹

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3409256.3409811

Reference43 articles.

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2. Huanhuan Cao Daxin Jiang Jian Pei Qi He Zhen Liao Enhong Chen and Hang Li. 2008. Context-aware query suggestion by mining click-through and session data. In SIGKDD. ACM 875--883. Huanhuan Cao Daxin Jiang Jian Pei Qi He Zhen Liao Enhong Chen and Hang Li. 2008. Context-aware query suggestion by mining click-through and session data. In SIGKDD. ACM 875--883.

3. Zhe Cao Tao Qin Tie-Yan Liu Ming-Feng Tsai and Hang Li. 2007. Learning to rank: from pairwise approach to listwise approach. In ICML. ACM 129--136. Zhe Cao Tao Qin Tie-Yan Liu Ming-Feng Tsai and Hang Li. 2007. Learning to rank: from pairwise approach to listwise approach. In ICML. ACM 129--136.

4. Zhe Chen Michael Cafarella and HV Jagadish. 2016. Long-tail vocabulary dictionary extraction from the web. In WSDM. ACM 625--634. Zhe Chen Michael Cafarella and HV Jagadish. 2016. Long-tail vocabulary dictionary extraction from the web. In WSDM. ACM 625--634.

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