A Graph-Based Algorithm for Inducing Lexical Taxonomies from Scratch
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1872-1876.
Abstract
In this paper we present a graph-based approach aimed at learning a lexical taxonomy automatically starting from a domain corpus and the Web. Unlike many taxonomy learning approaches in the literature, our novel algorithm learns both concepts and relations entirely from scratch via the automated extraction of terms, definitions and hypernyms. This results in a very dense, cyclic and possibly disconnected hypernym graph. The algorithm then induces a taxonomy from the graph. Our experiments show that we obtain high-quality results, both when building brand-new taxonomies and when reconstructing WordNet sub-hierarchies.
@inproceedings{ijcai2011p313,
title = {A Graph-Based Algorithm for Inducing Lexical Taxonomies from Scratch},
author = {Navigli, Roberto and Velardi, Paola and Faralli, Stefano},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1872--1876},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-313},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-313},
}
TY - CPAPER TI - A Graph-Based Algorithm for Inducing Lexical Taxonomies from Scratch AU - Navigli, Roberto AU - Velardi, Paola AU - Faralli, Stefano T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1872 EP - 1876 DO - 10.5591/978-1-57735-516-8/IJCAI11-313 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-313 ER -Copied
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