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This paper deals with a contribution of computational analysis of verbal humor to natural language cognition. After a brief introduction to the growing area of computational humor and of its roots in humor theories, it describes and compares the results of a human-subject and computer experiment. The specific interest is to compare how well the computer, equipped with the resources and methodologies...
The paper starts out with an observation that, in the domain of fuzzy logic, fuzzy sets, computing with words, etc., the charges from the outside that fuzziness equals probability are routinely and calmly rebuffed, but confusing fuzziness with vagueness has not been ultimately dealt with even inside the community. We leave completely aside the category of vagueness that is an artifact of approaches,...
The paper addresses the need for an ontology- and meaning-based approach for natural-language-understanding and information-processing computational systems. After a discussion of an oft-ignored form/content dichotomy that offers an explicit understanding of what meaning is and is not, a specific approach, the Ontological Semantic Technology, is introduced and several aspects of meaning representation...
This paper revises the classic Ontological Semantics theory with regard to the output of the analyzer. We argue that it is not enough to produce semantic interpretation of text, and syntactic trees should serve not only as clues for semantic processing but also as an output in its own right. We show that it is useful to combine both results of syntactic and semantic processing in a single output while...
Firefighters put themselves in harm's way while saving others and may even lose their lives in certain situations, such as toxic fumes, extreme heat, or inhaling smoke. In order to protect firefighters from the risks and, at the same time, to save others' lives, firefighting and firefighter assistant robots have been developed. This paper will compare different firefighting and firefighter assistant...
In this paper, we report on a part of a large experiment in structuring information from natural language descriptions of animals from a children's dictionary. The structuring included the recognition and postulation of properties and capturing the is-a hierarchy from the descriptions. The material was taken from the 2007 edition of the American Heritage First Dictionary. We applied the methodology...
The paper outlines a framework for a full incorporation of fuzziness into a comprehensive system of natural language meaning processing with the help of ontological semantic technology. It goes far beyond the traditional examples of fuzziness for natural language modifiers, claiming that fuzziness is pervasive throughout natural language and cannot be avoided without a considerable penalty on accuracy.
The paper analyzes multiple noun expressions, or compound nouns, as part of the implementation of Ontological Semantic Technology, which uses a lexicon, an ontology, and a semantic text analyzer to access and represent the meaning of text. Because the analysis and results depend on the lexical senses of words, general principles of lexical acquisition are discussed. The success in interpretation and...
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