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        <title>TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP Tasks</title>
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        <namePart type="given">Bernardo</namePart>
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            <namePart type="given">Hideo</namePart>
            <namePart type="family">Watanabe</namePart>
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    <abstract>This paper presents TextPro-AL (Active Learning for Text Processing), a platform where human annotators can efficiently work to produce high quality training data for new domains and new languages exploiting Active Learning methodologies. TextPro-AL is a web-based application integrating four components: a machine learning based NLP pipeline, an annotation editor for task definition and text annotations, an incremental re-training procedure based on active learning selection from a large pool of unannotated data, and a graphical visualization of the learning status of the system.</abstract>
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%0 Conference Proceedings
%T TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP Tasks
%A Magnini, Bernardo
%A Minard, Anne-Lyse
%A Qwaider, Mohammed R. H.
%A Speranza, Manuela
%Y Watanabe, Hideo
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F magnini-etal-2016-textpro
%X This paper presents TextPro-AL (Active Learning for Text Processing), a platform where human annotators can efficiently work to produce high quality training data for new domains and new languages exploiting Active Learning methodologies. TextPro-AL is a web-based application integrating four components: a machine learning based NLP pipeline, an annotation editor for task definition and text annotations, an incremental re-training procedure based on active learning selection from a large pool of unannotated data, and a graphical visualization of the learning status of the system.
%U https://aclanthology.org/C16-2028
%P 131-135

Markdown (Informal)

[TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP Tasks](https://aclanthology.org/C16-2028) (Magnini et al., COLING 2016)

• TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP Tasks (Magnini et al., COLING 2016)

ACL

• Bernardo Magnini, Anne-Lyse Minard, Mohammed R. H. Qwaider, and Manuela Speranza. 2016. TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP Tasks. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 131–135, Osaka, Japan. The COLING 2016 Organizing Committee.