Event extraction across multiple levels of biological organization | Zendy

Sampo Pyysalo | Zendy; Tomoko Ohta | Zendy; Makoto Miwa | Zendy; Han-Cheol Cho | Zendy; Jun’ichi Tsujii | Zendy; Sophia Ananiadou | Zendy

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Event extraction across multiple levels of biological organization

Author(s) -

Sampo Pyysalo,

Tomoko Ohta,

Makoto Miwa,

Han-Cheol Cho,

Jun’ichi Tsujii,

Sophia Ananiadou

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts407

Subject(s) - computer science , event (particle physics) , annotation , information extraction , task (project management) , extraction (chemistry) , biomedical text mining , natural language processing , representation (politics) , information retrieval , artificial intelligence , data mining , data science , text mining , chromatography , chemistry , physics , management , quantum mechanics , politics , political science , law , economics

Event extraction using expressive structured representations has been a significant focus of recent efforts in biomedical information extraction. However, event extraction resources and methods have so far focused almost exclusively on molecular-level entities and processes, limiting their applicability.

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