

# Dataset Card for GENIA Term Corpus

## Dataset Description

- **Homepage:** http://www.geniaproject.org/genia-corpus/term-corpus
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER


The identification of linguistic expressions referring to entities of interest in molecular biology such as proteins,
genes and cells is a fundamental task in biomolecular text mining. The GENIA technical term annotation covers the
identification of  physical biological entities as well as other important terms. The corpus annotation covers the full
1,999 abstracts of the primary GENIA corpus.



## Citation Information

```
@inproceedings{10.5555/1289189.1289260,
author = {Ohta, Tomoko and Tateisi, Yuka and Kim, Jin-Dong},
title = {The GENIA Corpus: An Annotated Research Abstract Corpus in Molecular Biology Domain},
year = {2002},
publisher = {Morgan Kaufmann Publishers Inc.},
address = {San Francisco, CA, USA},
booktitle = {Proceedings of the Second International Conference on Human Language Technology Research},
pages = {82–86},
numpages = {5},
location = {San Diego, California},
series = {HLT '02}
}

@article{Kim2003GENIAC,
  title={GENIA corpus - a semantically annotated corpus for bio-textmining},
  author={Jin-Dong Kim and Tomoko Ohta and Yuka Tateisi and Junichi Tsujii},
  journal={Bioinformatics},
  year={2003},
  volume={19 Suppl 1},
  pages={
          i180-2
        }
}

@inproceedings{10.5555/1567594.1567610,
author = {Kim, Jin-Dong and Ohta, Tomoko and Tsuruoka, Yoshimasa and Tateisi, Yuka and Collier, Nigel},
title = {Introduction to the Bio-Entity Recognition Task at JNLPBA},
year = {2004},
publisher = {Association for Computational Linguistics},
address = {USA},
booktitle = {Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and Its
Applications},
pages = {70–75},
numpages = {6},
location = {Geneva, Switzerland},
series = {JNLPBA '04}
}

```

multilinguality:monolingual language:en license:other region:us
{"language": ["en"], "license": "other", "multilinguality": "monolingual", "pretty_name": "GENIA Term Corpus", "bigbio_language": ["English"], "bigbio_license_shortname": "GENIA_PROJECT_LICENSE", "homepage": "http://www.geniaproject.org/genia-corpus/term-corpus", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION"]}
TAGS
#multilinguality-monolingual #language-English #license-other #region-us 



# Dataset Card for GENIA Term Corpus

## Dataset Description

- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER


The identification of linguistic expressions referring to entities of interest in molecular biology such as proteins,
genes and cells is a fundamental task in biomolecular text mining. The GENIA technical term annotation covers the
identification of  physical biological entities as well as other important terms. The corpus annotation covers the full
1,999 abstracts of the primary GENIA corpus.







# Dataset Card for GENIA Term Corpus ## Dataset Description

- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER


The identification of linguistic expressions referring to entities of interest in molecular biology such as proteins,
genes and cells is a fundamental task in biomolecular text mining. The GENIA technical term annotation covers the
identification of  physical biological entities as well as other important terms. The corpus annotation covers the full
1,999 abstracts of the primary GENIA corpus.
TAGS
#multilinguality-monolingual #language-English #license-other #region-us 
 # Dataset Card for GENIA Term Corpus ## Dataset Description

- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER


The identification of linguistic expressions referring to entities of interest in molecular biology such as proteins,
genes and cells is a fundamental task in biomolecular text mining. The GENIA technical term annotation covers the
identification of  physical biological entities as well as other important terms. The corpus annotation covers the full
1,999 abstracts of the primary GENIA corpus.
passage: TAGS
#multilinguality-monolingual #language-English #license-other #region-us 
# Dataset Card for GENIA Term Corpus## Dataset Description

- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: NER


The identification of linguistic expressions referring to entities of interest in molecular biology such as proteins,
genes and cells is a fundamental task in biomolecular text mining. The GENIA technical term annotation covers the
identification of  physical biological entities as well as other important terms. The corpus annotation covers the full
1,999 abstracts of the primary GENIA corpus.