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.

TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP tasks

Magnini, Bernardo;Minard, Anne-Lyse Myriam;Qwaider, Mohammed R H;Speranza, Manuela
2016

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/308955
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