@inproceedings{li2010comparable,
author = {Li, Shasha and Lin, Chin-Yew and Song, Young-In and Li, Zhoujun},
title = {Comparable Entity Mining from Comparative Questions (ACL Conference Paper)},
booktitle = {Meeting of the Association for Computational Linguistics},
year = {2010},
month = {July},
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 Flmeasure of 82.5% in comparative question identification and 83.3% in comparable entity extraction. Both significantly outperform an existing state-of-the-art method.},
publisher = {Association for Computational Linguistics},
url = {http://approjects.co.za/?big=en-us/research/publication/comparable-entity-mining-from-comparative-questions-acl-conference-paper/},
pages = {650-658},
}