Bernhard, Delphine ; Gurevych, Iryna (2008)
Answering Learners' Questions by Retrieving Question Paraphrases from Social Q&A Sites.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2008 |
| Autor(en): | Bernhard, Delphine ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Answering Learners' Questions by Retrieving Question Paraphrases from Social Q&A Sites |
| Sprache: | Englisch |
| Publikationsjahr: | Juni 2008 |
| Buchtitel: | Proceedings of the 3rd Workshop on Innovative Use of NLP for Building Educational Applications held in conjunction with ACL-08 |
| URL / URN: | http://aclweb.org/anthology/W08-0906 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Educational Natural Language Processing;UKP_a_ENLP;UKP_p_QAEL |
| ID-Nummer: | TUD-CS-2008-2 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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