@inproceedings{8ffd6a1dde9d40458f49c723f6e2ff16,
title = "Comparable entity mining from comparative questions",
abstract = "Comparing one thing with another is a typical part of human decision making process. However, it is not always easy to know what to compare and what are the alternatives. To address this difficulty, we present a novel way to automatically mine comparable entities from comparative questions that users posted online. To ensure high precision and high recall, we develop a weakly-supervised bootstrapping method for comparative question identification and comparable entity extraction by leveraging a large online question archive. The experimental results show our method achieves F1-measure of 82.5\% in comparative question identification and 83.3\% in comparable entity extraction. Both significantly outperform an existing state-of-the-art method.",
author = "Shasha Li and Lin, \{Chin Yew\} and Song, \{Young In\} and Zhoujun Li",
year = "2010",
language = "英语",
isbn = "9781617388088",
series = "ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference",
pages = "650--658",
booktitle = "ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference",
note = "48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 ; Conference date: 11-07-2010 Through 16-07-2010",
}