Distributional Compositional Semantics (DCS) methods combine lexical vectors according to algebraic operators or functions to model the meaning of complex linguistic phrases. On the other hand, several textual inference tasks rely on supervised kernel-based learning, whereas Tree Kernels (TK) have been shown suitable to the modeling of syntactic and semantic similarity between linguistic instan...

Distributional Compositional Semantics (DCS) methods combine lexical vectors according to algebraic operators or functions to model the meaning of complex linguistic phrases. On the other hand, several textual inference tasks rely on supervised kernel-based learning, whereas Tree Kernels (TK) have been shown suitable to the modeling of syntactic and semantic similarity between linguistic instan...

Distributional semantics is a research area investigating unsupervised datadriven models for quantifying semantic relatedness. This thesis investigates the possibilities of using distributional semantic models for sentiment classification of utterances, by composing distributional vectors of words in utterances. For evaluation I use a set of manually classified movie reviews. While the purpose ...

Advances in Semantic Web and Ontologies have pushed the role of semantics to a new frontier: Semantic Composition of Web Services. A good example of such compositions is the querying of multiple bioinformatics data sources. Supporting effective querying over a large collection of bioinformatics data sources presents a number of unique challenges. First, queries over bioinformatics data sources ...

A potential work item (PWI) for ISO standard (MAP) about linguistic annotation concerning syntax-semantics mapping is discussed. MAP is a framework for graphical linguistic annotation to specify a mapping (set of combinations) between possible syntactic and semantic structures of the annotated linguistic data. Just like a UML diagram, a MAP diagram is formal, in the sense that it accurately spe...

The introduction of Semantic Web techniques in Service-oriented Architectures enables explicit representation and reasoning about semantically rich descriptions of service operations. Those techniques hold promise for the automated discovery, selection, composition and binding of services. This paper describes an approach to derive formal specifications of Web Service compositions on the basis ...

Semantic composition is the task of understanding the meaning of text by composing the meanings of the individual words in the text. Semantic decomposition is the task of understanding the meaning of an individual word by decomposing it into various aspects (factors, constituents, components) that are latent in the meaning of the word. We take a distributional approach to semantics, in which a ...

The traditional Web services architecture uses a keyword based search to match a query to one or more service providers. However, a world-toword matching to discover a service provider is too simplistic for geospatial data and fails to capture matches that advertise their functionality using domaindependent terminology. In this paper, we present DAGIS (Discovering Annotated Geospatial Informati...

Late negativity arising in ERP in response to a semantic mismatch of consistently presented stimuli is usually considered to be related with verbal or symbolic representation of stimulus during perception. It is shown in this work that the late negativity typical of the semantic mismatch develops even in the context of non-symbolic and nonverbal, for example, four-point stimulus compositions wh...