We examine tone dispersion, or the degree to which tone words are spread evenly within a
narrative, to evaluate whether narrative structure provides insight into managers' voluntary …

Collaborative and content-based filtering are the recommendation techniques most widely
adopted to date. Traditional collaborative approaches compute a similarity value between …

The computation of relatedness between two fragments of text in an automated manner
requires taking into account a wide range of factors pertaining to the meaning the two …

Text categorization plays a crucial role in both academic and commercial platforms due to
the growing demand for automatic organization of documents. Kernel-based classification …

Abstract Generalized Vector Space Models (GVSM) extend the standard Vector Space
Model (VSM) by embedding additional types of information, besides terms, in the …

The paper presents YAWN, a system to convert the well-known and widely used Wikipedia
collection into an XML corpus with semantically rich, self-explaining tags. We introduce …

Most word sense disambiguation (WSD) methods require large quantities of manually
annotated training data and/or do not exploit fully the semantic relations of thesauri. We …

Objectives Normalizing mentions of medical concepts to standardized vocabularies is a
fundamental component of clinical text analysis. Ambiguity—words or phrases that may refer …

In this paper we propose a new approach to the design of semantic smoothing kernels for
text classification. These kernels implicitly encode a superconcept expansion in a semantic …

In this paper we present a new semantic smoothing vector space kernel (S-VSM) for text
documents clustering. In the suggested approach semantic relatedness between words is …