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Please use this identifier to cite or link to this item: http://hdl.handle.net/10506/688

Title: Semantic Retrieval Approach to Factoid Question Answering for Bulgarian
Authors: Peshterliev, Stanislav
Koichev, Ivan
Keywords: question answering
information retrieval
semantic annotation
Issue Date: 2011
Publisher: Springer-Verlag Berlin Heidelberg 2011
Citation: Peshterliev, Stanislav, Koichev, Ivan (2011), Semantic Retrieval Approach to Factoid Question Answering for Bulgarian, Advances in Intelligent and Soft Computing, 2011, Volume 101, Third International Conference on Software, Services and Semantic Technologies S3T 2011, September 1-3, 2011, Bourgas, Bulgaria, ISBN 978-3-642-23162-9, pp. 25-32
Abstract: With the abundance of information available today, we need ecient tools to explore it. Search engines try to retrieve the most relevant documents for a given query, but still require users to look for the exact answer. Question Answering (Q&A) systems go one step further by trying to answer users' questions posed in natural language. In this paper we describe the semantic approach to Q&A retrieval applied for Bulgarian language. We are investigating how the usage of named entity recognition, question answer type detection and dependency parsing can improve the retrieval of answer-bearing structures compared to the bag-of-words model. Moreover, we evaluate nine dierent dependency parsing algorithms for Bulgarian, and a named entity recognizer trained with data automatically extracted from Wikipedia.
URI: http://hdl.handle.net/10506/688
ISBN: 978-3-642-23162-9
ISSN: 1867-5662
Appears in Collections:S3T 2011

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