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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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A ‘mind map’ summarising this Briefing. It should be read clockwise starting at 1 o’clock.
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elu015-F1: A ‘mind map’ summarising this Briefing. It should be read clockwise starting at 1 o’clock.

Mentions: Event extraction systems can be used to develop applications (e.g. [28, 29]) that offer various benefits to the researchers, e.g. in facilitating more focused and relevant searches for information, in helping to locate literature-based evidence for reactions described in a pathway model or in detecting potential contradictions or inconsistencies in information reported in different articles. The purpose of this briefing, summarised as a Mind Map in Figure 1, is therefore to bring to readers’ attention how event-based TM approaches are providing considerable assistance to biological scientists struggling to cope with the literature deluge, and in particular, how they may be applied to the problems of functional genomics.Figure 1:


Event-based text mining for biology and functional genomics.

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

A ‘mind map’ summarising this Briefing. It should be read clockwise starting at 1 o’clock.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

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

elu015-F1: A ‘mind map’ summarising this Briefing. It should be read clockwise starting at 1 o’clock.
Mentions: Event extraction systems can be used to develop applications (e.g. [28, 29]) that offer various benefits to the researchers, e.g. in facilitating more focused and relevant searches for information, in helping to locate literature-based evidence for reactions described in a pathway model or in detecting potential contradictions or inconsistencies in information reported in different articles. The purpose of this briefing, summarised as a Mind Map in Figure 1, is therefore to bring to readers’ attention how event-based TM approaches are providing considerable assistance to biological scientists struggling to cope with the literature deluge, and in particular, how they may be applied to the problems of functional genomics.Figure 1:

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.