Evidence map›Paper›PMID 26202448›Full record

ArticleBMC bioinformatics2015

Overview of the gene regulation network and the bacteria biotope tasks in BioNLP'13 shared task.

Robert Bossy, Wiktoria Golik, Zorana Ratkovic, Dialekti Valsamou, Philippe Bessières, Claire Nédellec

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Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers in PubMed
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3 · Its place in the literature

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15 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Robert Bossy
Wiktoria Golik
Zorana Ratkovic
Dialekti Valsamou
Philippe Bessières
Claire Nédellec

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe present the two Bacteria Track tasks of BioNLP 2013 Shared Task (ST): Gene Regulation Network (GRN) and Bacteria Biotope (BB). These tasks were previously introduced in the 2011 BioNLP-ST Bacteria Track as Bacteria Gene Interaction (BI) and Bacteria Biotope (BB). The Bacteria Track was motivated by a need to develop specific BioNLP tools for fine-grained event extraction in bacteria biology. The 2013 tasks expand on the 2011 version by better addressing the biological knowledge modeling needs. New evaluation metrics were designed for the new goals. Moving beyond a list of gene interactions, the goal of the GRN task is to build a gene regulation network from the extracted gene interactions. BB'13 is dedicated to the extraction of bacteria biotopes, i.e. bacterial environmental information, as was BB'11. BB'13 extends the typology of BB'11 to a large diversity of biotopes, as defined by the OntoBiotope ontology. The detection of entities and events is tackled by distinct subtasks in order to measure the progress achieved by the participant systems since 2011.

resultsThis paper details the corpus preparations and the evaluation metrics, as well as summarizing and discussing the participant results. Five groups participated in each of the two tasks. The high diversity of the participant methods reflects the dynamism of the BioNLP research community.

conclusionThe evaluation results suggest new research directions for the improvement and development of Information Extraction for molecular and environmental biology. The Bacteria Track tasks remain publicly open; the BioNLP-ST website provides an online evaluation service, the reference corpora and the evaluation tools.

Indexed as

Environmental MicrobiologyEpistasis, GeneticGene Regulatory NetworksGenes, BacterialInformation Storage and RetrievalBacteriaHumansNatural Language Processing

Identifiers

PMID26202448
PMCPMC4511173

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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.