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dc.creatorPajić, Vesna
dc.creatorPavlović-Lažetić, Gordana
dc.creatorPajić, Miloš
dc.date.accessioned2020-12-17T19:56:40Z
dc.date.available2020-12-17T19:56:40Z
dc.date.issued2011
dc.identifier.issn0302-9743
dc.identifier.urihttp://aspace.agrif.bg.ac.rs/handle/123456789/2415
dc.description.abstractThe paper presents a new method for extracting information from semi-structured resources, based on finite state transducers. The method has two clearly distinguished phases. The first phase - pre-processing phase strongly relies upon the analysis of the document structure and it is used for locating records of data in the text. The second phase is based on the finite state transducers created for extracting information. The transducers can be modified so that preferred efficiency is achieved and can be reused for extracting information from other pre-processed documents. We conclude that even untagged text can be treated as a semi-structured one, providing its structure can be successfully pre-processed. As a result, we extracted data from free form encyclopedia text and created a fully structured database with genotype and phenotype characteristics of the organisms.en
dc.publisher16th International Conference on Implementation and Application of Automata, CIAA 2011
dc.rightsrestrictedAccess
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and
dc.subjectinformation extractionen
dc.subjectfinite state transduceren
dc.subjectsemi-structured resourceen
dc.subjectlinguistic resourceen
dc.subjectbioinformaticsen
dc.subjectgenomeen
dc.titleInformation Extraction from Semi-structured Resources: A Two-Phase Finite State Transducers Approachen
dc.typeconferenceObject
dc.rights.licenseARR
dc.citation.epage289
dc.citation.other6807 LNCS: 282-289
dc.citation.spage282
dc.citation.volume6807 LNCS
dc.identifier.doi10.1007/978-3-642-22256-6_26
dc.identifier.scopus2-s2.0-79961198242
dc.identifier.wos000304127100026
dc.type.versionpublishedVersion


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Приказ основних података о документу