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Event-based text mining for biology and functional genomics.

Ananiadou S, Thompson P, Nawaz R, McNaught J, Kell DB - Brief Funct Genomics (2014)

Bottom Line: This article provides an overview of recent research into event extraction.We cover annotated corpora on which systems are trained, systems that achieve state-of-the-art performance and details of the community shared tasks that have been instrumental in increasing the quality, coverage and scalability of recent systems.Finally, several concrete applications of event extraction are covered, together with emerging directions of research.

View Article: PubMed Central - PubMed

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MEDIE search results. Relevant sentences from retrieved abstracts are shown, with separate colours for the subject, object and verb. (A colour version of this figure is available online at: http://bfg.oxfordjournals.org)
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elu015-F7: MEDIE search results. Relevant sentences from retrieved abstracts are shown, with separate colours for the subject, object and verb. (A colour version of this figure is available online at: http://bfg.oxfordjournals.org)

Mentions: MEDIE [28] allows more precise, structured searching, through the application of a deep syntactic analyser tuned to the biomedical domain [114], combined with an event expression recogniser and a named entity recogniser [115]. Structured queries take the form of ‘<subject, verb, object>’ to specify an event, where ‘subject’ and ‘object’ refer to grammatical relations with the verb. Such relations often hold between the primary participants of events, and are the basis of the well-known Resource Description Framework (RDF) triple scheme [116]. Query results are shown in Figure 7. The subject, verb and object of the relation are highlighted separately in the relevant snippets of texts within the retrieved articles.Figure 7:


Event-based text mining for biology and functional genomics.

Ananiadou S, Thompson P, Nawaz R, McNaught J, Kell DB - Brief Funct Genomics (2014)

MEDIE search results. Relevant sentences from retrieved abstracts are shown, with separate colours for the subject, object and verb. (A colour version of this figure is available online at: http://bfg.oxfordjournals.org)
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4499874&req=5

elu015-F7: MEDIE search results. Relevant sentences from retrieved abstracts are shown, with separate colours for the subject, object and verb. (A colour version of this figure is available online at: http://bfg.oxfordjournals.org)
Mentions: MEDIE [28] allows more precise, structured searching, through the application of a deep syntactic analyser tuned to the biomedical domain [114], combined with an event expression recogniser and a named entity recogniser [115]. Structured queries take the form of ‘<subject, verb, object>’ to specify an event, where ‘subject’ and ‘object’ refer to grammatical relations with the verb. Such relations often hold between the primary participants of events, and are the basis of the well-known Resource Description Framework (RDF) triple scheme [116]. Query results are shown in Figure 7. The subject, verb and object of the relation are highlighted separately in the relevant snippets of texts within the retrieved articles.Figure 7:

Bottom Line: This article provides an overview of recent research into event extraction.We cover annotated corpora on which systems are trained, systems that achieve state-of-the-art performance and details of the community shared tasks that have been instrumental in increasing the quality, coverage and scalability of recent systems.Finally, several concrete applications of event extraction are covered, together with emerging directions of research.

View Article: PubMed Central - PubMed

No MeSH data available.