brat: a Web-based Tool for NLP-Assisted Text Annotation

By Pontus Stenetorp, Sampo Pyysalo, Goran Topic, Tomoko Ohta, Sophia Ananiadou, Junichi Tsujii. 2012

1,442 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

Citations in the corpus

Modeling Biological Processes for Reading Comprehension (2014, methodology): “Three biologists annotated the same 200 para-graphs described in Section 2 using the brat annotation tool (Stenetorp et al., 2012).”
Measuring the Evolution of a Scientific Field through Citation Frames (2018, methodology): “All citations were then doubly-annotated by two trained annotators with expertise in NLP using the Brat tool (Stenetorp et al., 2012) and were then fully adjudicated to ensure quality.”
An Active Learning Approach to Coreference Resolution (2015, methodology): “To create the Hindi entity coreference dataset, we annotated 91 news-articles (50 train, 15 dev and 26 test) published on October 10, 2004 in two popular Hindi newspapers Amar Ujala and Navbharat Times using Brat [Stenetorp et al., 2012].”
TIARA: A Tool for Annotating Discourse Relations and Sentence Reordering (2020, methodology): “However, BRAT and WebAnno were originally designed for morphological, syntactic and semantic annotations (i.e., rather local word or phrase-level annotation).”
FITAnnotator: A Flexible and Intelligent Text Annotation System (2021, background): “In the early days, platforms for linguistic annotations such as O’Donnell (2008), BART (Stenetorp et al., 2012), WebAnno-13 (Yimam et al., 2013) mainly focused on providing a visual interface for user labeling process, making annotation accessible to non-expert users.”
Redcoat: A Collaborative Annotation Tool for Hierarchical Entity Typing (2019, methodology): “BRAT (Rapid An-notation Tool) (Stenetorp et al., 2012), the most popular annotation tool, requires project creators to read documentation, split their data into folders, set up a web server, and email their annotators links to their respective folders.”
TreeAnnotator: Versatile Visual Annotation of Hierarchical Text Relations (2018, methodology): “…not based on UIMA, and hence T REE A NNOTATOR is a module following a technologically complementary approach, more related to the “NLP-afﬁne” text annotation tool BRAT (Stenetorp et al., 2012) (which in turn is the technological and design source for UIMA-based WebAnno (de Castilho et al., 2014)).”
Named Entity Recognition in the Medical Domain with Constrained CRF Models (2017, neutral): “Figure 1: Dependence relation example in brat (Stenetorp et al., 2012)”
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction (2018, methodology): “Following annotation guidelines from Qasem-iZadeh and Schumann (2016) and using the BRAT interface (Stenetorp et al., 2012), our annotators perform a greedy annotation for spans and always prefer the longer span whenever ambiguity occurs.”
SemEval-2015 Task 12: Aspect Based Sentiment Analysis (2015, methodology): “Each dataset was annotated by a linguist (annotator A) using BRAT (Stenetorp et al., 2012), a web-based annotation tool, which was configured appropriately for the needs of the task.”
Concept annotation in the CRAFT corpus (2012, methodology): “Furthermore, we have already integrated the CRAFT Corpus with BRAT (brat rapid annotation tool) [41], with which our concept annotations can be browsed online at http://compbio.ucdenver.edu/Craft.”