Literature DB >> 25480679

Marky: a tool supporting annotation consistency in multi-user and iterative document annotation projects.

Martín Pérez-Pérez1, Daniel Glez-Peña1, Florentino Fdez-Riverola1, Anália Lourenço2.   

Abstract

BACKGROUND AND OBJECTIVES: Document annotation is a key task in the development of Text Mining methods and applications. High quality annotated corpora are invaluable, but their preparation requires a considerable amount of resources and time. Although the existing annotation tools offer good user interaction interfaces to domain experts, project management and quality control abilities are still limited. Therefore, the current work introduces Marky, a new Web-based document annotation tool equipped to manage multi-user and iterative projects, and to evaluate annotation quality throughout the project life cycle.
METHODS: At the core, Marky is a Web application based on the open source CakePHP framework. User interface relies on HTML5 and CSS3 technologies. Rangy library assists in browser-independent implementation of common DOM range and selection tasks, and Ajax and JQuery technologies are used to enhance user-system interaction.
RESULTS: Marky grants solid management of inter- and intra-annotator work. Most notably, its annotation tracking system supports systematic and on-demand agreement analysis and annotation amendment. Each annotator may work over documents as usual, but all the annotations made are saved by the tracking system and may be further compared. So, the project administrator is able to evaluate annotation consistency among annotators and across rounds of annotation, while annotators are able to reject or amend subsets of annotations made in previous rounds. As a side effect, the tracking system minimises resource and time consumption.
CONCLUSIONS: Marky is a novel environment for managing multi-user and iterative document annotation projects. Compared to other tools, Marky offers a similar visually intuitive annotation experience while providing unique means to minimise annotation effort and enforce annotation quality, and therefore corpus consistency. Marky is freely available for non-commercial use at http://sing.ei.uvigo.es/marky.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Collaborative annotation; Document annotation; Inter-annotator agreement; Iterative annotation; Tracking system

Mesh:

Year:  2014        PMID: 25480679     DOI: 10.1016/j.cmpb.2014.11.005

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  6 in total

1.  TeamTat: a collaborative text annotation tool.

Authors:  Rezarta Islamaj; Dongseop Kwon; Sun Kim; Zhiyong Lu
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

2.  An extensive review of tools for manual annotation of documents.

Authors:  Mariana Neves; Jurica Ševa
Journal:  Brief Bioinform       Date:  2021-01-18       Impact factor: 11.622

3.  Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow.

Authors:  Paula Jorge; Martín Pérez-Pérez; Gael Pérez Rodríguez; Florentino Fdez-Riverola; Maria Olívia Pereira; Anália Lourenço
Journal:  Database (Oxford)       Date:  2016-12-26       Impact factor: 3.451

4.  Collaborative relation annotation and quality analysis in Markyt environment.

Authors:  Martín Pérez-Pérez; Gael Pérez-Rodríguez; Florentino Fdez-Riverola; Anália Lourenço
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

5.  MedTAG: a portable and customizable annotation tool for biomedical documents.

Authors:  Fabio Giachelle; Ornella Irrera; Gianmaria Silvello
Journal:  BMC Med Inform Decis Mak       Date:  2021-12-18       Impact factor: 2.796

6.  The Markyt visualisation, prediction and benchmark platform for chemical and gene entity recognition at BioCreative/CHEMDNER challenge.

Authors:  Martin Pérez-Pérez; Gael Pérez-Rodríguez; Obdulia Rabal; Miguel Vazquez; Julen Oyarzabal; Florentino Fdez-Riverola; Alfonso Valencia; Martin Krallinger; Anália Lourenço
Journal:  Database (Oxford)       Date:  2016-08-19       Impact factor: 3.451

  6 in total

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