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

---
language: 
- en
bigbio_language: 
- English
license: cc-by-3.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_3p0
pretty_name: BioNLP 2011 GE
homepage: https://sites.google.com/site/bionlpst/bionlp-shared-task-2011/genia-event-extraction-genia
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks: 
- EVENT_EXTRACTION
- NAMED_ENTITY_RECOGNITION
- COREFERENCE_RESOLUTION
---


# Dataset Card for BioNLP 2011 GE

## Dataset Description

- **Homepage:** https://sites.google.com/site/bionlpst/bionlp-shared-task-2011/genia-event-extraction-genia
- **Pubmed:** True
- **Public:** True
- **Tasks:** EE,NER,COREF


The BioNLP-ST GE task has been promoting development of fine-grained information extraction (IE) from biomedical
documents, since 2009. Particularly, it has focused on the domain of NFkB as a model domain of Biomedical IE.
The GENIA task aims at extracting events occurring upon genes or gene products, which are typed as "Protein"
without differentiating genes from gene products. Other types of physical entities, e.g. cells, cell components,
are not differentiated from each other, and their type is given as "Entity".



## Citation Information

```
@inproceedings{10.5555/2107691.2107693,
author = {Kim, Jin-Dong and Wang, Yue and Takagi, Toshihisa and Yonezawa, Akinori},
title = {Overview of Genia Event Task in BioNLP Shared Task 2011},
year = {2011},
isbn = {9781937284091},
publisher = {Association for Computational Linguistics},
address = {USA},
abstract = {The Genia event task, a bio-molecular event extraction task,
is arranged as one of the main tasks of BioNLP Shared Task 2011.
As its second time to be arranged for community-wide focused
efforts, it aimed to measure the advance of the community since 2009,
and to evaluate generalization of the technology to full text papers.
After a 3-month system development period, 15 teams submitted their
performance results on test cases. The results show the community has
made a significant advancement in terms of both performance improvement
and generalization.},
booktitle = {Proceedings of the BioNLP Shared Task 2011 Workshop},
pages = {7–15},
numpages = {9},
location = {Portland, Oregon},
series = {BioNLP Shared Task '11}
}

```
