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Educational Question Answering based on Social Media Content

Gurevych, Iryna ; Bernhard, Delphine ; Ignatova, Kateryna ; Toprak, Cigdem
Hrsg.: Dimitrova, Vania ; Mizoguchi, Riichiro ; du Boulay, Benedict ; Graesser, Art (2009)
Educational Question Answering based on Social Media Content.
In: Proceedings of the 14th International Conference on Artificial Intelligence in Education. Building learning systems that care: From knowledge representation to affective modelling (AIED2009)
Buchkapitel, Bibliographie

Kurzbeschreibung (Abstract)

We analyze the requirements for an educational Question Answering (QA) system operating on social media content. As a result, we identify a set of advanced natural language processing (NLP) technologies to address the challenges in educational QA. We conducted an inter-annotator agreement study on subjective question classification in the Yahoo!Answers social Q&A site and propose a simple, but effective approach to automatically identify subjective questions. We also developed a two-stage QA architecture for answering learners’ questions. In the first step, we aim at re-using human answers to already answered questions by employing question paraphrase identification [1]. In the second step, we apply information retrieval techniques to perform answer retrieval from social media content. We show that elaborate techniques for question preprocessing are crucial.

Typ des Eintrags: Buchkapitel
Erschienen: 2009
Herausgeber: Dimitrova, Vania ; Mizoguchi, Riichiro ; du Boulay, Benedict ; Graesser, Art
Autor(en): Gurevych, Iryna ; Bernhard, Delphine ; Ignatova, Kateryna ; Toprak, Cigdem
Art des Eintrags: Bibliographie
Titel: Educational Question Answering based on Social Media Content
Sprache: Englisch
Publikationsjahr: Juli 2009
Verlag: IOS Press
Buchtitel: Proceedings of the 14th International Conference on Artificial Intelligence in Education. Building learning systems that care: From knowledge representation to affective modelling (AIED2009)
Reihe: Frontiers in Artificial Intelligence and Applications
Band einer Reihe: 200
URL / URN: http://ebooks.iospress.nl/volumearticle/5146
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Kurzbeschreibung (Abstract):

We analyze the requirements for an educational Question Answering (QA) system operating on social media content. As a result, we identify a set of advanced natural language processing (NLP) technologies to address the challenges in educational QA. We conducted an inter-annotator agreement study on subjective question classification in the Yahoo!Answers social Q&A site and propose a simple, but effective approach to automatically identify subjective questions. We also developed a two-stage QA architecture for answering learners’ questions. In the first step, we aim at re-using human answers to already answered questions by employing question paraphrase identification [1]. In the second step, we apply information retrieval techniques to perform answer retrieval from social media content. We show that elaborate techniques for question preprocessing are crucial.

Freie Schlagworte: Educational Natural Language Processing;UKP_a_ENLP;UKP_p_QAEL
ID-Nummer: TUD-CS-2009-0015
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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