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 |
| Zugehörige Links: | |
| 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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