@inproceedings{124d7afe0c704e00a744db439407adc8,
title = "Automatic selection of defining vocabulary in an explanatory dictionary",
abstract = "One of the problems in converting a conventional (human-oriented) explanatory dictionary into a semantic database intended for the use in automatic reasoning systems is that such a database should not contain any cycles in its definitions, while the traditional dictionaries usually contain them. The cycles can be eliminated by declaring some words “primitive” (having no definition) while all other words are defined in terms of these ones. A method for detecting the cycles in definitions and selecting a minimal (though not the smallest) defining vocabulary is presented. Different strategies for selecting the words for the defining vocabulary are discussed and experimental data for a real dictionary are presented.",
author = "Alexander Gelbukh and Grigori Sidorov",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002.; 3rd Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2002 ; Conference date: 17-02-2002 Through 23-02-2002",
year = "2002",
doi = "10.1007/3-540-45715-1_29",
language = "Ingl{\'e}s",
isbn = "3540432191",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "300--303",
editor = "Alexander Gelbukh",
booktitle = "Computational Linguistics and Intelligent Text Processing - 3rd International Conference, CICLing 2002, Proceedings",
address = "Alemania",
}