@inproceedings{zaghir-etal-2025-bratly,
title = "Bratly: A Python Extension for {BRAT} Functionalities",
author = "Zaghir, Jamil and
Goldman, Jean-Philippe and
Bjelogrlic, Nikola and
Bjelogrlic, Mina and
Lovis, Christian",
editor = {Habernal, Ivan and
Schulam, Peter and
Tiedemann, J{\"o}rg},
booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.emnlp-demos.73/",
pages = "943--949",
ISBN = "979-8-89176-334-0",
abstract = "BRAT is a widely used web-based text annotation tool. However, it lacks robust Python support for effective annotation management and processing. We present Bratly, an open-source extension of BRAT that introduces a solid Python backend, enabling advanced functionalities such as annotation typings, collection typings with statistical insights, corpus and annotation handling, object modifications, and entity-level evaluation based on MUC-5 standards. These enhancements streamline annotation workflows, improve usability, and facilitate high-quality NLP research. This paper outlines the system{'}s architecture, functionalities and evaluation, positioning it as a valuable BRAT extension for its users. The tool is open-source, and the NLP community is welcome to suggest improvements."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="zaghir-etal-2025-bratly">
<titleInfo>
<title>Bratly: A Python Extension for BRAT Functionalities</title>
</titleInfo>
<name type="personal">
<namePart type="given">Jamil</namePart>
<namePart type="family">Zaghir</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jean-Philippe</namePart>
<namePart type="family">Goldman</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Nikola</namePart>
<namePart type="family">Bjelogrlic</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mina</namePart>
<namePart type="family">Bjelogrlic</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Christian</namePart>
<namePart type="family">Lovis</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2025-11</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations</title>
</titleInfo>
<name type="personal">
<namePart type="given">Ivan</namePart>
<namePart type="family">Habernal</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Peter</namePart>
<namePart type="family">Schulam</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jörg</namePart>
<namePart type="family">Tiedemann</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Suzhou, China</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-334-0</identifier>
</relatedItem>
<abstract>BRAT is a widely used web-based text annotation tool. However, it lacks robust Python support for effective annotation management and processing. We present Bratly, an open-source extension of BRAT that introduces a solid Python backend, enabling advanced functionalities such as annotation typings, collection typings with statistical insights, corpus and annotation handling, object modifications, and entity-level evaluation based on MUC-5 standards. These enhancements streamline annotation workflows, improve usability, and facilitate high-quality NLP research. This paper outlines the system’s architecture, functionalities and evaluation, positioning it as a valuable BRAT extension for its users. The tool is open-source, and the NLP community is welcome to suggest improvements.</abstract>
<identifier type="citekey">zaghir-etal-2025-bratly</identifier>
<location>
<url>https://aclanthology.org/2025.emnlp-demos.73/</url>
</location>
<part>
<date>2025-11</date>
<extent unit="page">
<start>943</start>
<end>949</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Bratly: A Python Extension for BRAT Functionalities
%A Zaghir, Jamil
%A Goldman, Jean-Philippe
%A Bjelogrlic, Nikola
%A Bjelogrlic, Mina
%A Lovis, Christian
%Y Habernal, Ivan
%Y Schulam, Peter
%Y Tiedemann, Jörg
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-334-0
%F zaghir-etal-2025-bratly
%X BRAT is a widely used web-based text annotation tool. However, it lacks robust Python support for effective annotation management and processing. We present Bratly, an open-source extension of BRAT that introduces a solid Python backend, enabling advanced functionalities such as annotation typings, collection typings with statistical insights, corpus and annotation handling, object modifications, and entity-level evaluation based on MUC-5 standards. These enhancements streamline annotation workflows, improve usability, and facilitate high-quality NLP research. This paper outlines the system’s architecture, functionalities and evaluation, positioning it as a valuable BRAT extension for its users. The tool is open-source, and the NLP community is welcome to suggest improvements.
%U https://aclanthology.org/2025.emnlp-demos.73/
%P 943-949
Markdown (Informal)
[Bratly: A Python Extension for BRAT Functionalities](https://aclanthology.org/2025.emnlp-demos.73/) (Zaghir et al., EMNLP 2025)
ACL
- Jamil Zaghir, Jean-Philippe Goldman, Nikola Bjelogrlic, Mina Bjelogrlic, and Christian Lovis. 2025. Bratly: A Python Extension for BRAT Functionalities. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 943–949, Suzhou, China. Association for Computational Linguistics.