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 …

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

Context. Defects such as ambiguity and incompleteness are pervasive in software
requirements, often due to the limited time that practitioners devote to writing good …

Abstract [Context and motivation] Identifying requirements defects such as ambiguity and
incompleteness is an important and challenging task in requirements engineering …

Choosing the wrong word in a machine translation or natural language generation system
can convey unwanted connotations, implications, or attitudes. The choice between near …

This paper presents a partial solution to a component of the problem of lexical choice:
choosing the synonym most typical, or expected, in context. We apply a new statistical …

Paraphrase, as a general concept, is a very mutable thing; at one extreme, paraphrase is the
relation between units of text with identical meanings, as under the …

Using the 400+ million-word Corpus of Contemporary American English (COCA) as data
and a behavioral profile analysis approach, this study examines the semantic and usage …

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

We release a new benchmark for lexical substitution, the task of finding appropriate
substitutes for a target word in a context. To assist humans with writing, lexical substitution …