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

2016

Conference article Open Access

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

Esuli A.

Quantification Ordinal regression Text classification

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.

Source: SemEval 2016 - 10th International Workshop on Semantic Evaluation, pp. 92–95, San Diego, USA, 16-17 June 2016

Metrics

Back to previous page

Cite as

BibTeX entry

@inproceedings{oai:it.cnr:prodotti:368820,
	title = {ISTI-CNR at SemEval-2016 Task 4: quantification on an ordinal scale},
	author = {Esuli A.},
	doi = {10.18653/v1/s16-1011},
	booktitle = {SemEval 2016 - 10th International Workshop on Semantic Evaluation, pp. 92–95, San Diego, USA, 16-17 June 2016},
	year = {2016}
}