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U-Compare bio-event meta-service: compatible BioNLP event extraction services

Authors: Yoshinobu Kano; Jari Björne; Filip Ginter; Tapio Salakoski; Ekaterina Buyko; Udo Hahn; K. Bretonnel Cohen; +21 Authors

U-Compare bio-event meta-service: compatible BioNLP event extraction services

Abstract

Bio-molecular event extraction from literature is recognized as an important task of bio text mining and, as such, many relevant systems have been developed and made available during the last decade. While such systems provide useful services individually, there is a need for a meta-service to enable comparison and ensemble of such services, offering optimal solutions for various purposes.We have integrated nine event extraction systems in the U-Compare framework, making them intercompatible and interoperable with other U-Compare components. The U-Compare event meta-service provides various meta-level features for comparison and ensemble of multiple event extraction systems. Experimental results show that the performance improvements achieved by the ensemble are significant.While individual event extraction systems themselves provide useful features for bio text mining, the U-Compare meta-service is expected to improve the accessibility to the individual systems, and to enable meta-level uses over multiple event extraction systems such as comparison and ensemble.

Countries
United States, United Kingdom, Spain, Belgium, Australia, United Kingdom
Keywords

BioNLP, event extraction, QH301-705.5, text-mining, Computer applications to medicine. Medical informatics, R858-859.7, Biology and Life Sciences, meta-service, Biochemistry, 004, Computer Science Applications, Computer Systems, INFORMATION EXTRACTION, Data Mining, CORPUS, Biology (General), Periodicals as Topic, Molecular Biology, Software, Research Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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11
Average
Top 10%
Top 10%
40
82
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gold