Computers understand very little of the meaning of human language. This profoundly limits
our ability to give instructions to computers, the ability of computers to explain their actions to …

In recent years, ontologies have become a mainstream topic in biomedical research. When
biological entities are described using a common schema, such as an ontology, they can be …

The evaluative character of a word is called its semantic orientation. Positive semantic
orientation indicates praise (eg," honest"," intrepid") and negative semantic orientation …

The quantification of lexical semantic relatedness has many applications in NLP, and many
different measures have been proposed. We evaluate five of these measures, all of which …

This paper presents a method for measuring the semantic similarity of texts, using corpus-
based and knowledge-based measures of similarity. Previous work on this problem has …

Semantic similarity between words is becoming a generic problem for many applications of
computational linguistics and artificial intelligence. This paper explores the determination of …

Sentence similarity measures play an increasingly important role in text-related research
and applications in areas such as text mining, Web page retrieval, and dialogue systems …

This paper presents a new measure of semantic relatedness between concepts that is
based on the number of shared words (overlaps) in their definitions (glosses). This measure …

Current WordNet-based measures of distance or similarity focus almost exclusively on
WordNet's taxonomic relations. This effectively restricts their applicability to the syntactic …

This paper proposes a framework for representing the meaning of phrases and sentences in
vector space. Central to our approach is vector composition which we operationalize in …