Gene Interaction Extraction from Biomedical Texts by Sentence Skeletonization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00178758" target="_blank" >RIV/68407700:21230/11:00178758 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Gene Interaction Extraction from Biomedical Texts by Sentence Skeletonization
Original language description
The presented paper describes a method of text preprocessing improving the performance of sequential data mining applied in the task of gene interaction extraction from biomedical texts. The need of text preprocessing rises primarily from the fact, thatthe language encoded by any general word sequence is mostly not sequential. The method involves a number of heuristic language transformations, all together converting sentences into forms with higher degree of sequentiality. The core idea of enhancing sentence sequentiality results from the observation that the components constituting the semantical and grammatical content of sentences are not equally relevant for extracting a highly specific type of information. Experiments employing a simple sequential algorithm confirmed the usability of the proposed text preprocessing in the gene interaction extraction task.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP103%2F10%2F1875" target="_blank" >GAP103/10/1875: Learning from Theories</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sborník příspěvků 10. ročníku konference ZNALOSTI 2011
ISBN
978-80-248-2369-0
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
230-242
Publisher name
VŠB-TUO
Place of publication
Ostrava
Event location
Stará Lesná
Event date
Jan 31, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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