Information Extraction from Semi-structured Resources: A Two-Phase Finite State Transducers Approach

DOI10.1007/978-3-642-22256-6_26zbMath1297.68205OpenAlexW156468329MaRDI QIDQ5200074

Vesna Pajić, Gordana Pavlović-Lažetić, Miloš Pajić

Publication date: 29 July 2011

Published in: Implementation and Application of Automata (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-22256-6_26

zbMATH Keywords

bioinformaticsfinite state transducergenomeinformation extractionlinguistic resourcesemi-structured resource

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Formal languages and automata (68Q45) Computational methods for problems pertaining to biology (92-08)

Uses Software

• FASTUS
• Unitex

Cites Work

• Finite-state transducer cascades to extract named entities in texts.
• Inference of finite-state transducers from regular languages
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