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The Role of Information Retrieval in the Question Answering System IRSAW

  • Information on the internet is a vast resource for question answering. As the amount of available information from web pages increases, novel methods for finding precise answers to user queries and questions must be found. Standard information retrieval methods are efficient, but often fail to provide a user with short, precise answers. A deep linguistic analysis of all information is time consuming, but it offers more advanced means to find answers to a user’s question. Shallow natural language processing methods seem to work well on a limited range of questions, but they are not suitable for finding answers to more complex questions. This paper describes work in progress on the question answering system IRSAW (Intelligent Information Retrieval on the Basis of a Semantically Annotated Web), a system that combines information retrieval with a deep linguistic analysis of texts to obtain answers to natural language questions. In IRSAW, different techniques for finding answers lead to different sets of answer candidates, which are then merged to produce a final answer. The system’s architecture and functionality are described before evaluation results of a first prototype are presented.

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Metadaten
Author:Johannes Leveling
URN:https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-464
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2011/04/28
Contributing Corporation:Fakult¨at f¨ur Mathematik und Informatik Intelligent Information- and Communication Systems (IICS) FernUniversität in Hagen
Release Date:2011/04/28
Source:Lernen, Wissensentdeckung und Adaptivität LWA - 2006 Hildesheim
PPN:Link zum Katalog
Contributor:Althoff, Klaus-Dieter
Institutes:Fachbereich IV / Informatik
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
Licence (German):License LogoDeutsches Urheberrecht