Using wiktionary for computing semantic relatedness
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Towards semi-automatic methods for improving WordNet
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
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WordNet is a lexical database that, among other things, arranges English nouns into a hierarchy ranked by specificity, providing links between a more general word and words that are specializations of it. For example, the word "mammal" is linked (transitively via some intervening words) to "dog" and to "cat." This hierarchy bears some resemblance to the hierarchies of types (or properties, or predicates) often used in artificial intelligence systems. However, WordNet was not designed for such uses, and is organized in a way that makes it far from ideal for them. This report describes our attempts to arrive at a quantitative measure of the quality of the information that can be extracted from WordNet by interpreting it as a formal taxonomy, and to design automatic techniques for improving the quality by filtering out dubious assertions.