Title |
Supersense Tagger for Italian |
Authors |
Davide Picca, Alfio Massimiliano Gliozzo and Massimiliano Ciaramita |
Abstract |
In this paper we present the procedure we followed to develop the Italian Super Sense Tagger. In particular, we adapted the English SuperSense Tagger to the Italian Language by exploiting a parallel sense labeled corpus for training. As for English, the Italian tagger uses a fixed set of 26 semantic labels, called supersenses, achieving a slightly lower accuracy due to the lower quality of the Italian training data. Both taggers accomplish the same task of identifying entities and concepts belonging to a common set of ontological types. This parallelism allows us to define effective methodologies for a broad range of cross-language knowledge acquisition tasks |
Language |
Single language |
Topics |
Tagging, Named Entity recognition, Acquisition, Machine Learning |
Full paper |
Supersense Tagger for Italian |
Slides |
- |
Bibtex |
@InProceedings{PICCA08.599,
author = {Davide Picca, Alfio Massimiliano Gliozzo and Massimiliano Ciaramita},
title = {Supersense Tagger for Italian},
booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
year = {2008},
month = {may},
date = {28-30},
address = {Marrakech, Morocco},
editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
publisher = {European Language Resources Association (ELRA)},
isbn = {2-9517408-4-0},
note = {http://www.lrec-conf.org/proceedings/lrec2008/},
language = {english}
} |