Gene Interaction Extraction from Biomedical Texts by Sentence Skeletonization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00185142" target="_blank" >RIV/68407700:21230/11:00185142 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-802/" target="_blank" >http://ceur-ws.org/Vol-802/</a>
DOI - Digital Object Identifier
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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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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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