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--- |
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language: |
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- en |
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bigbio_language: |
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- English |
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license: cc-by-3.0 |
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multilinguality: monolingual |
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bigbio_license_shortname: CC_BY_3p0 |
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pretty_name: BioNLP 2011 GE |
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homepage: https://sites.google.com/site/bionlpst/bionlp-shared-task-2011/genia-event-extraction-genia |
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bigbio_pubmed: True |
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bigbio_public: True |
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bigbio_tasks: |
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- EVENT_EXTRACTION |
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- NAMED_ENTITY_RECOGNITION |
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- COREFERENCE_RESOLUTION |
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--- |
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# Dataset Card for BioNLP 2011 GE |
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## Dataset Description |
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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:** EE,NER,COREF |
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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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## Citation Information |
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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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