Title |
Simple-Clips ongoing research: more information with less data by implementing inheritance |
Authors |
Riccardo Del Gratta, Nilda Ruimy and Antonio Toral |
Abstract |
This paper presents the application of inheritance to the formal taxonomy (is-a) of a semantically rich Language Resource based on the Generative Lexicon theory, SIMPLE-CLIPS. The aim is to lighten the representation of its semantic layer by reducing the number of encoded relations. A prediction calculation on the impact of introducing inheritance regarding space occupancy is carried out, yielding a significant space reduction of 22%. This is corroborated by its actual application, which reduces the number of explicitly encoded relations in this lexicon by 18.4%. Later on, we study the issues that inheritance poses to the Language Resources, and discuss sensitive solutions to tackle each of them, including examples. Finally, we present a discussion on the application of inheritance, from which two side effect advantages arise: consistency enhancement and inference capabilities. |
Language |
|
Topics |
Lexicon, lexical database, Knowledge representation, Other |
Full paper |
Simple-Clips ongoing research: more information with less data by implementing inheritance |
Slides |
- |
Bibtex |
@InProceedings{DELGRATTA08.598,
author = {Riccardo Del Gratta, Nilda Ruimy and Antonio Toral},
title = {Simple-Clips ongoing research: more information with less data by implementing inheritance},
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}
} |