An Approach to Building the Hierarchical Element of a Lexical Knowledge Base From a Machine Readable Dictionary
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An Approach to Building the Hierarchical Element of a Lexical Knowledge Base from a Machine Readable Dictionary. an Approach to Building the Hierarchical Element of a Lexical Knowledge Base from a Machine Readable Dictionary 1
This abstract describes an approach to extracting taxonomies from machine readable dictionaries and using them to structure a lexical knowledge base which incorporates default inheritance. Taxonomy construction is based on an intuitive notion of the organisation of the substantial quantities of data in machine readable dictionaries which were developed for quite independent purposes. Our intent...
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The idea of a Lexical knowledge base was recently proposed by the ESPRIT BRA AQUILEX [Briscoe 91], [Calzolari 92] project, to provide information, mostly of a semantic nature, internally consistently structured and electronically available. Three levels of lexical representation are proposed in AQUILEX: (a) Machine Readable Dictionary (MRD), i.e. an electronic version of the paper dictionary; (...
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The goal of this project was to develop a piece of software to build a Lexical Knowledge Base (LKB) automatically by extracting information from a Machine Readable Dictionary (MRD). The extracted knowledge is represented using the Conceptual Graph (CG) formalism to give explicit information about noun and verb definitions. Sentences from the MRD are tagged, parsed and translated into conceptual...
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Choosing the wrong word in a machine translation or natural language generation system can convey unwanted connotations, implications, or attitudes. The choice between near-synonyms such as error, mistake, slip, and blunder — words that share the same core meaning, but differ in their nuances — can be made only if knowledge about their differences is available. We present a method to automatica...
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This paper describes a general framework for adaptive conceptual word sense disambiguation. The proposed system begins with knowledge acquisition from machine-readable dictionaries. Central to the approach is the adaptive step that enriches the initial knowledge base with knowledge gleaned from the partial disambiguated text. Once the knowledge base is adjusted to suit the text at hand, it is a...
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تاریخ انتشار 1990