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Information retrieval using a macedonian test collection for question answering

Date Issued
2010-09-12
Author(s)
Tomovski, Aleksandar
Pehcevski, Jovan
Abstract
Question answering systems solve many of the problems that users
encounter when searching for focused information on the web and elsewhere.
However, these systems cannot always adequately understand the user’s
question posed in a natural language, primarily because any particular language
has its own specifics that have to be taken into account in the search process.
When designing a system for answering questions posed in a natural language,
there is a need of creating an appropriate test collection that will be used for
testing the system’s performance, as well as using an information retrieval
method that will effectively answer questions for that collection. In this paper,
we present a test collection we developed for answering questions in
Macedonian language. We use this collection to test the performance of the
vector space model with pivoted document length normalization. Preliminary
experimental results show that our test collection can be effectively used to
answer multiple-choice questions in Macedonian language.
Subjects

Information retrieval...

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Information_Retrieval_Using_a_Macedonian_Test_Coll.pdf

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