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ISTI-CNR at SemEval-2016 Task 4: quantification on an ordinal scale

Contributo in Atti di convegno
Data di Pubblicazione:
2016
Abstract:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Text classification; Quantification; Ordinal regression
Elenco autori:
Esuli, Andrea
Autori di Ateneo:
ESULI ANDREA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/327902
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/327902/80014/prod_368820-doc_122438.pdf
Titolo del libro:
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
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URL

https://aclanthology.org/S16-1011/
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