Datasets:
Tasks:
Token Classification
Sub-tasks:
parsing
Languages:
English
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - found | |
| languages: | |
| - en-US | |
| licenses: [] | |
| multilinguality: | |
| - monolingual | |
| task_categories: | |
| - structure-prediction | |
| task_ids: | |
| - parsing | |
| # Information Card for Brat | |
| ## Table of Contents | |
| - [Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Languages](#languages) | |
| - [Annotation Information](#dataset-structure) | |
| - [Additional Information](#additional-information) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| ## Description | |
| - **Homepage:** https://brat.nlplab.org | |
| - **Paper:** https://aclanthology.org/E12-2021/ | |
| - **Leaderboard:** [Needs More Information] | |
| - **Point of Contact:** [Needs More Information] | |
| ### Summary | |
| Brat is an intuitive web-based tool for text annotation supported by Natural Language Processing (NLP) technology. BRAT has been developed for rich structured annota- tion for a variety of NLP tasks and aims to support manual curation efforts and increase annotator productivity using NLP techniques. brat is designed in particular for structured annotation, where the notes are not free form text but have a fixed form that can be automatically processed and interpreted by a computer. | |
| ### Languages | |
| English. | |
| ## Annotation Information | |
| Annotations created in brat are stored on disk in a standoff format: annotations are stored separately from the annotated document text, which is never modified by the tool. For each text document in the system, there is a corresponding annotation file. The two are associatied by the file naming convention that their base name (file name without suffix) is the same: for example, the file DOC-1000.ann contains annotations for the file DOC-1000.txt. More information can be found [here](https://brat.nlplab.org/standoff.html). | |
| ## Additional Information | |
| ### Licensing Information | |
| [Needs More Information] | |
| ### Citation Information | |
| ``` | |
| @inproceedings{stenetorp-etal-2012-brat, | |
| title = "brat: a Web-based Tool for {NLP}-Assisted Text Annotation", | |
| author = "Stenetorp, Pontus and | |
| Pyysalo, Sampo and | |
| Topi{\'c}, Goran and | |
| Ohta, Tomoko and | |
| Ananiadou, Sophia and | |
| Tsujii, Jun{'}ichi", | |
| booktitle = "Proceedings of the Demonstrations at the 13th Conference of the {E}uropean Chapter of the Association for Computational Linguistics", | |
| month = apr, | |
| year = "2012", | |
| address = "Avignon, France", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/E12-2021", | |
| pages = "102--107", | |
| } | |
| ``` |