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Istituto di Scienza e Tecnologie dell'Informazione     
Esuli A. ISTI-CNR at SemEval-2016 Task 4: Quantification on an ordinal scale. In: SemEval 2016 - 10th International Workshop on Semantic Evaluation (San Diego, US, 16-17 June 2016). Proceedings, pp. 92 - 95. Association for Computational Linguistics, 2016.
 
 
Abstract
(English)
This paper details on the participation of ISTI-CNR to task 4 of Semeval 2016. Among the five subtasks, special attention has been paid to the five-point scale quantification subtask. The quantification method we propose is based on the observation that a standard document-by-document regression method usually has a bias towards assigning high prevalence labels. Our method models such bias with a linear model, in order to compensate it and to produce the quantification estimates.
URL: http://aclweb.org/anthology/S/S16/S16-1011.pdf
Subject Text classification
Quantification
Ordinal regression
I.2.7 ARTIFICIAL INTELLIGENCE. Natural Language Processing. Text analysis


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