multilinguality:monolingual language:en license:other region:us
Post-translational-modiﬁcations (PTM), amino acid modiﬁcations of proteins after translation, are one of the posterior processes of protein biosynthesis for many proteins, and they are critical for determining protein function such as its activity state, localization, turnover and interactions with other biomolecules. While there have been many studies of information extraction targeting individual PTM types, there was until recently little effort to address extraction of multiple PTM types at once in a unified framework.
@inproceedings{ohta-etal-2010-event,
    title = "Event Extraction for Post-Translational Modifications",
    author = "Ohta, Tomoko  and
      Pyysalo, Sampo  and
      Miwa, Makoto  and
      Kim, Jin-Dong  and
      Tsujii, Jun{'}ichi",
    booktitle = "Proceedings of the 2010 Workshop on Biomedical Natural Language Processing",
    month = jul,
    year = "2010",
    address = "Uppsala, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W10-1903",
    pages = "19--27",
}

---
language: 
- en
bigbio_language: 
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: GENIA_PROJECT_LICENSE
pretty_name: PTM Events
homepage: http://www.geniaproject.org/other-corpora/ptm-event-corpus
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks: 
- NAMED_ENTITY_RECOGNITION
- COREFERENCE_RESOLUTION
- EVENT_EXTRACTION
---


# Dataset Card for PTM Events

## Dataset Description

- **Homepage:** http://www.geniaproject.org/other-corpora/ptm-event-corpus
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,COREF,EE


Post-translational-modiﬁcations (PTM), amino acid modiﬁcations of proteins after translation, are one of the posterior processes of protein biosynthesis for many proteins, and they are critical for determining protein function such as its activity state, localization, turnover and interactions with other biomolecules. While there have been many studies of information extraction targeting individual PTM types, there was until recently little effort to address extraction of multiple PTM types at once in a unified framework.



## Citation Information

```
@inproceedings{ohta-etal-2010-event,
    title = "Event Extraction for Post-Translational Modifications",
    author = "Ohta, Tomoko  and
      Pyysalo, Sampo  and
      Miwa, Makoto  and
      Kim, Jin-Dong  and
      Tsujii, Jun{'}ichi",
    booktitle = "Proceedings of the 2010 Workshop on Biomedical Natural Language Processing",
    month = jul,
    year = "2010",
    address = "Uppsala, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W10-1903",
    pages = "19--27",
}

```
