Semantic Spaces
نویسندگان
چکیده
منابع مشابه
Semantic Spaces
Any natural language can be considered as a tool for producing large databases (consisting of texts, written, or discursive). This tool for its description in turn requires other large databases (dictionaries, grammars etc.). Nowadays, the notion of database is associated with computer processing and computer memory. However, a natural language resides also in human brains and functions in huma...
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This contribution gives an overview about different approaches to semantic spaces. It is not a exhaustive survey, but rather a personal view on different approaches which use metric spaces for the representation of meanings of linguistic units. The aim is to demonstrate the similarities of apparently different approaches and to inspire the generalisation of semantic spaces tailored to the repre...
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Latent Semantic Analysis (LSA) has been successfully used in a number of information retrieval, document visualization and summarization applications. LSA semantic spaces are normally created from large corpora that reflect an assumed background knowledge. However the right size and coverage of the background knowledge for each application are still open research questions. Moreover, LSA’s comp...
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One of thechallenges in Latent Semantic Analysis (LSA) is deciding which corpus is best for a speci c̄ application.Imp ortant factors of LSA in°uence the generation of high quality LSA space including the size of the corpus, the weight (local or global) functions, number of dimensions to keep, etc. These factors are often di±cult to determine and as a result hard to control for. In this paper, w...
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ژورنال
عنوان ژورنال: Mathematics in Computer Science
سال: 2016
ISSN: 1661-8270,1661-8289
DOI: 10.1007/s11786-016-0278-9