Identifying Novel Information using latent Semantic Analysis in the WiQA Task at CLEF 2006

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F07%3A00502230" target="_blank" >RIV/49777513:23520/07:00502230 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Identifying Novel Information using latent Semantic Analysis in the WiQA Task at CLEF 2006
Original language description
In our two-stage system for the English monolingual WiQA Task, snippets were first retrieved if they contained an exact match with the title. Candidates were then passed to the Latent Semantic Analysis component which judged them Novel if their match with the article text was less than a threshold. In Run 1, the ten best swnippes were returned and in Run 2 the twenty best. Run 1 was superior, with Average Yield per Topic 2.46 and Precision 0.37. Compared to other groups, our performance was in the middle of the range excerpt for Precision where our system was the best. We attribute this to our use of exact title matches in the IR stage. In future work we will vary the approach used depending on the topic type, exploit co-references in conjuction with exact matches and make use of the elaborate hyperlink stucture which is a unique and most interesting aspect of the Wikipedia.
Czech name
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Czech description
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Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Evaluation of Multilingual and Multi-modal Information Retrieval
ISBN
978-3-540-74998-1
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Alicante
Event date
Sep 22, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000250568000066

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