ArticleBMC bioinformatics2011
U-Compare bio-event meta-service: compatible BioNLP event extraction services.
Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 18 citations in OpenAlex.
- Open Agile text mining for bioinformatics: the PubAnnotation ecosystem.Bioinformatics (Oxford, England) · 2019Article
- Machine-learned and codified synthesis parameters of oxide materials.Scientific data · 2017Article
- TEES 2.2: Biomedical Event Extraction for Diverse Corpora.BMC bioinformatics · 2015Article
- Biblio-MetReS for user-friendly mining of genes and biological processes in scientific documents.PeerJ · 2014Article
- BioContext: an integrated text mining system for large-scale extraction and contextualization of biomolecular events.Bioinformatics (Oxford, England) · 2012Article
- Mining the pharmacogenomics literature--a survey of the state of the art.Briefings in bioinformatics · 2012Article
- Biological event composition.BMC bioinformatics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
28 authors at 17 institutions in 13 countries.
Funding
Abstract
backgroundBio-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.
resultsWe 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.
conclusionsWhile 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.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.