Word sense disambiguation (WSD) is the ability to identify the meaning of words in context
in a computational manner. WSD is considered an AI-complete problem, that is, a task …

This article presents a measure of semantic similarity in an IS-A taxonomy based on the
notion of shared information content. Experimental evaluation against a benchmark set of …

It is widely acknowledged that natural language processing, as an indispensable means for
information technology, requires the strong support of world knowledge as well as linguistic …

We present the first framework for segmentation, semantic classification, and semantic
generalization of passwords and a model that captures the semantic essence of password …

CorMet is a corpus-based system for discovering metaphorical map**s between concepts.
It does this by finding systematic variations in domain-specific selectional preferences, which …

This article shows that the Web can be employed to obtain frequencies for bigrams that are
unseen in a given corpus. We describe a method for retrieving counts for adjective-noun …

Lexical-semantic resources, including thesauri and WORDNET, have been successfully
incorporated into a wide range of applications in Natural Language Processing. However …

This article presents clustering experiments on German verbs: A statistical grammar model
for German serves as the source for a distributional verb description at the lexical syntax …

We describe a novel technique and implemented system for constructing a
subcategorization dictionary from textual corpora. Each dictionary entry encodes the relative …

Conceptualization, or viewing entities and situations as instances of abstract concepts in
mind and making inferences based on that, is a vital component in human intelligence for …