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Answering Learners' Questions by Retrieving Question Paraphrases from Social Q&A Sites

Bernhard, Delphine and Gurevych, Iryna (2008):
Answering Learners' Questions by Retrieving Question Paraphrases from Social Q&A Sites.
In: Proceedings of the 3rd Workshop on Innovative Use of NLP for Building Educational Applications held in conjunction with ACL-08, [Online-Edition: http://aclweb.org/anthology/W08-0906],
[Conference or Workshop Item]

Abstract

Information overload is a well-known problem which can be particularly detrimental to learners. In this paper, we propose a method to support learners in the information seeking process which consists in answering their questions by retrieving question paraphrases and their corresponding answers from social Q&A sites. Given the novelty of this kind of data, it is crucial to get a better understanding of how questions in social Q&A sites can be automatically analysed and retrieved. We discuss and evaluate several pre-processing strategies and question similarity metrics, using a new question paraphrase corpus collected from the WikiAnswers Q&A site. The results show that viable performance levels of more than 80% accuracy can be obtained for the task of question paraphrase retrieval.

Item Type: Conference or Workshop Item
Erschienen: 2008
Creators: Bernhard, Delphine and Gurevych, Iryna
Title: Answering Learners' Questions by Retrieving Question Paraphrases from Social Q&A Sites
Language: English
Abstract:

Information overload is a well-known problem which can be particularly detrimental to learners. In this paper, we propose a method to support learners in the information seeking process which consists in answering their questions by retrieving question paraphrases and their corresponding answers from social Q&A sites. Given the novelty of this kind of data, it is crucial to get a better understanding of how questions in social Q&A sites can be automatically analysed and retrieved. We discuss and evaluate several pre-processing strategies and question similarity metrics, using a new question paraphrase corpus collected from the WikiAnswers Q&A site. The results show that viable performance levels of more than 80% accuracy can be obtained for the task of question paraphrase retrieval.

Title of Book: Proceedings of the 3rd Workshop on Innovative Use of NLP for Building Educational Applications held in conjunction with ACL-08
Uncontrolled Keywords: Educational Natural Language Processing;UKP_a_ENLP;UKP_p_QAEL
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Date Deposited: 31 Dec 2016 14:29
Official URL: http://aclweb.org/anthology/W08-0906
Identification Number: TUD-CS-2008-2
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