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+
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+ ---
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+ language:
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+ - en
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+ license: cc-by-3.0
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+ license_bigbio_shortname: CC_BY_3p0
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+ pretty_name: BioNLP 2011 GE
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+ ---
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+
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+
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+ # Dataset Card for BioNLP 2011 GE
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://sites.google.com/site/bionlpst/bionlp-shared-task-2011/genia-event-extraction-genia
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+ - **Pubmed:** True
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+ - **Public:** True
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+ - **Tasks:** Event Extraction, Named Entity Recognition, Coreference Resolution
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+
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+
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+ The BioNLP-ST GE task has been promoting development of fine-grained information extraction (IE) from biomedical
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+ documents, since 2009. Particularly, it has focused on the domain of NFkB as a model domain of Biomedical IE.
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+ The GENIA task aims at extracting events occurring upon genes or gene products, which are typed as "Protein"
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+ without differentiating genes from gene products. Other types of physical entities, e.g. cells, cell components,
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+ are not differentiated from each other, and their type is given as "Entity".
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+
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+
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+
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+ ## Citation Information
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+
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+ ```
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+ @inproceedings{10.5555/2107691.2107693,
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+ author = {Kim, Jin-Dong and Wang, Yue and Takagi, Toshihisa and Yonezawa, Akinori},
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+ title = {Overview of Genia Event Task in BioNLP Shared Task 2011},
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+ year = {2011},
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+ isbn = {9781937284091},
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+ publisher = {Association for Computational Linguistics},
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+ address = {USA},
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+ abstract = {The Genia event task, a bio-molecular event extraction task,
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+ is arranged as one of the main tasks of BioNLP Shared Task 2011.
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+ As its second time to be arranged for community-wide focused
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+ efforts, it aimed to measure the advance of the community since 2009,
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+ and to evaluate generalization of the technology to full text papers.
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+ After a 3-month system development period, 15 teams submitted their
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+ performance results on test cases. The results show the community has
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+ made a significant advancement in terms of both performance improvement
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+ and generalization.},
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+ booktitle = {Proceedings of the BioNLP Shared Task 2011 Workshop},
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+ pages = {7–15},
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+ numpages = {9},
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+ location = {Portland, Oregon},
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+ series = {BioNLP Shared Task '11}
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+ }
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+
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+ ```