%0 Conference Paper %1 Bernhard:2008:ALQ:1631836.1631842 %A Bernhard, Delphine %A Gurevych, Iryna %B Proceedings of the Third Workshop on Innovative Use of NLP for Building Educational Applications %C Stroudsburg, PA, USA %D 2008 %I Association for Computational Linguistics %K Social-Search Social_Q&A social-information-access %P 44--52 %T Answering Learners’ Questions by Retrieving Question Paraphrases from Social Q&A Sites %U http://dl.acm.org/citation.cfm?id=1631836.1631842 %X 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. %@ 978-1-932432-08-4

@inproceedings{Bernhard:2008:ALQ:1631836.1631842, 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.}, acmid = {1631842}, added-at = {2018-02-14T01:06:50.000+0100}, address = {Stroudsburg, PA, USA}, author = {Bernhard, Delphine and Gurevych, Iryna}, biburl = {https://www.bibsonomy.org/bibtex/2c6e7539140ac76b97045ec9b4ee7e429/aziz885}, booktitle = {Proceedings of the Third Workshop on Innovative Use of NLP for Building Educational Applications}, description = {Answering learners' questions by retrieving question paraphrases from social Q&A sites}, interhash = {0163615472aee6e3a8d4f46e07845f42}, intrahash = {c6e7539140ac76b97045ec9b4ee7e429}, isbn = {978-1-932432-08-4}, keywords = {Social-Search Social_Q&A social-information-access}, location = {Columbus, Ohio}, numpages = {9}, pages = {44--52}, publisher = {Association for Computational Linguistics}, series = {EANL '08}, timestamp = {2018-02-14T01:06:50.000+0100}, title = {Answering Learners’ Questions by Retrieving Question Paraphrases from Social Q&A Sites}, url = {http://dl.acm.org/citation.cfm?id=1631836.1631842}, year = 2008 }