The automatic disambiguation of word senses hasbeen an interest and concern since the
earliest days of computer treatment of language in the 1950s. Sense disambiguation is an" …

In the last decade, the problem of computational metaphor processing has garnered
immense attention from the domains of computational linguistics and cognition. A wide …

Methods and systems for providing start and stop properties to Semantic Web structured
resources and statements are disclosed. The start and stop properties can specify a lifetime …

We develop a new computational model for representing the fine-grained meanings of near-
synonyms and the differences between them. We also develop a lexical-choice process that …

We study distributional similarity measures for the purpose of improving probability
estimation for unseen cooccurrences. Our contributions are three-fold: an empirical …

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 …

In this paper we present TroFi (Trope Finder), a system for automatically classifying literal
and nonliteral usages of verbs through nearly unsupervised word-sense disambiguation …

We present a novel approach to automatic metaphor identification in unrestricted text.
Starting from a small seed set of manually annotated metaphorical expressions, the system …

Metaphor is highly frequent in language, which makes its computational processing
indispensable for real-world NLP applications addressing semantic tasks. Previous …

The literary imagination may take flight on the wings of metaphor, but hard-headed scientists
are just as likely as doe-eyed poets to reach for a metaphor when the descriptive need …