@inproceedings{90cdedcb91dc413abc0e97bc6dbc0bbd,
title = "Diversifying Information Needs in Results of Question Retrieval",
abstract = "Information need is an important factor in question retrieval. This paper proposes a method to diversify the results of question retrieval in term of types of information needs. CogQTaxo, a question hierarchy is leveraged to represent users' information needs cognitively from three linguistic levels. Based on a prediction model of question types, three factors, i.e., scores of IR model, question type similarity and question type novelty are linearly combined to re-rank the retrieved questions. Preliminary experimental results show that the proposed method enhances the question retrieval performance in information coverage and diversity.",
author = "Yaoyun Zhang and Xiaolong Wang and Xuan Wang and Ruifeng Xu and Jun Xu and Shixi Fan",
note = "Publisher Copyright: {\textcopyright} 2011 AFNLP; 5th International Joint Conference on Natural Language Processing, IJCNLP 2011 ; Conference date: 08-11-2011 Through 13-11-2011",
year = "2011",
language = "英语",
series = "IJCNLP 2011 - Proceedings of the 5th International Joint Conference on Natural Language Processing",
publisher = "Association for Computational Linguistics (ACL)",
pages = "1432--1436",
editor = "Haifeng Wang and David Yarowsky",
booktitle = "IJCNLP 2011 - Proceedings of the 5th International Joint Conference on Natural Language Processing",
address = "澳大利亚",
}