ISTI@SemEval-2 Task 8: boosting-based multiway relation classification
Esuli A., Marcheggiani D., Sebastiani F.
Information Search and Retrieval Natural Language Processing Experimental evaluation Information Extraction Relation extraction
We describe a boosting-based supervised learning approach to the "Multi-Way Classification of Semantic Relations between Pairs of Nominals" task #8 of SemEval-2. Participants were asked to determine which relation, from a set of nine relations plus "Other", exists between two nominals, and also to determine the roles of the two nominals in the relation. Our participation has focused, rather than on the choice of a rich set of features, on the classification model adopted to de- termine the correct assignment of relation and roles.
Source: 5th International Workshop on Semantic Evaluation, pp. 218–221, Uppsala, Sweden, 15-16 July 2010
Publisher: Association for Computational Linguistics, Stroudsburg, USA
Back to previous page
@inproceedings{oai:it.cnr:prodotti:92156,
title = {ISTI@SemEval-2 Task 8: boosting-based multiway relation classification},
author = {Esuli A. and Marcheggiani D. and Sebastiani F.},
publisher = {Association for Computational Linguistics, Stroudsburg, USA},
booktitle = {5th International Workshop on Semantic Evaluation, pp. 218–221, Uppsala, Sweden, 15-16 July 2010},
year = {2010}
}
0000-0002-5725-4322