A survey of research on spoken language understanding is presented. It covers aspects of knowledge representation, automatic interpretation strategies, semantic grammars, conceptual language models, semantic event detection, shallow semantic parsing, semantic classification, semantic confidence, active learning

Semantic Representation 2 This chapter deals with how word meaning is represented by speakers of a language, reviewing psychological perspectives on the representation of meaning. We start by outlining four key issues in the investigation of word meaning, then we introduce current theories of semantics and we end with a brief discussion of new directions. Meaning representation has long interes...

In recent years, there has been renewed interest in the NLP community in genuine language understanding and dialogue. Thus the long-standing issue of how the semantic content of language should be represented is reentering the communal discussion. This paper provides a brief “opinionated survey” of broadcoverage semantic representation (SR). It suggests multiple desiderata for such representati...

More information is now being published in machine processable form on the web and, as de-facto distributed knowledge bases are materializing, partly encouraged by the vision of the Semantic Web, the focus is shifting from the publication of this information to its consumption. Platforms for data integration, visualization and analysis that are based on a graph representation of information app...

In this paper, a multilevel semantic network is proposed to be used to represent knowledge within several levels of contexts. The zero level of representation is semantic network that includes knowledge about basic domain objects and their relations. The first level of presentation uses semantic network to represent contexts and their relationships. The second level presents relationships of me...

The paper analyses the application of DATR language for lexical knowledge presentation for interpreting Bulgarian inflectional morphology. It discuss the semantic network of the feature of definiteness in Bulgarian language and compares the lexical knowledge representation for the different part-of-speech with respect to the defined grammar rules, the sound alternations, the related formal pres...

The Resource Description Framework (RDF) is a semantic network data model that is used to create machineunderstandable descriptions of the world and is the basis of the Semantic Web. This article discusses the application of RDF to the representation of computer software and virtual computing machines. The Semantic Web is posited as not only a web of data, but also as a web of programs and proc...

In this paper, a multilevel semantic network is proposed to be used to represent knowledge within several levels of contexts. The zero level of representation is semantic network that includes knowledge about basic domain objects and their relations. The first level of presentation uses semantic network to represent contexts and their relationships. The second level presents relationships of me...

Iconography is the domain of understanding the meaning of historical visual artworks. A formalization of iconographic knowledge can provide a basis for a semi-automatic description of what the content shown on a historical image means without the need for a domain expert. Semantic Web standards can be applied for an iconographic knowledge representation using multiple levels of expressiveness t...

Topic Maps provide a bridge between the domains of knowledge representation and information management by building a structured semantic network above information resources. Our research at LIP6 aims at visualizing this semantic layer efficiently, which is a critical issue as Topic Maps may contain millions of elements. This paper is divided into two parts. First, we depict briefly basic Topic ...