The structure of voluntary disclosure narratives: Evidence from tone dispersion
KD Allee, MD DeAngelis - Journal of Accounting Research, 2015 - Wiley Online Library
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 …
narrative, to evaluate whether narrative structure provides insight into managers' voluntary …
A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation
Collaborative and content-based filtering are the recommendation techniques most widely
adopted to date. Traditional collaborative approaches compute a similarity value between …
adopted to date. Traditional collaborative approaches compute a similarity value between …
Text relatedness based on a word thesaurus
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 …
requires taking into account a wide range of factors pertaining to the meaning the two …
A corpus-based semantic kernel for text classification by using meaning values of terms
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 …
the growing demand for automatic organization of documents. Kernel-based classification …
[PDF][PDF] A generalized vector space model for text retrieval based on semantic relatedness
G Tsatsaronis, V Panagiotopoulou - Proceedings of the Student …, 2009 - aclanthology.org
Abstract Generalized Vector Space Models (GVSM) extend the standard Vector Space
Model (VSM) by embedding additional types of information, besides terms, in the …
Model (VSM) by embedding additional types of information, besides terms, in the …
YAWN: A semantically annotated Wikipedia XML corpus
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 …
collection into an XML corpus with semantically rich, self-explaining tags. We introduce …
[PDF][PDF] Word sense disambiguation with spreading activation networks generated from thesauri.
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 …
annotated training data and/or do not exploit fully the semantic relations of thesauri. We …
Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets
Objectives Normalizing mentions of medical concepts to standardized vocabularies is a
fundamental component of clinical text analysis. Ambiguity—words or phrases that may refer …
fundamental component of clinical text analysis. Ambiguity—words or phrases that may refer …
Semantic kernels for text classification based on topological measures of feature similarity
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 …
text classification. These kernels implicitly encode a superconcept expansion in a semantic …
Semantic smoothing for text clustering
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 …
documents clustering. In the suggested approach semantic relatedness between words is …