Paraphrasing of Synonyms for a Fine-grained Data Representation

نویسنده

  • Svetla Koeva
چکیده

The paper addressed the question how the paraphrasing of synonyms can be linked with a fine-gained ontology based data representation. Our challenge is to identify for a set of synonyms (including terms and multiword expressions) the best lexical paraphrases suitable for given contexts. Our hypothesis is that: i. the minimal context in which the paraphrasing can be validated is different for different (semantic) word classes; ii. paraphrasing is defined by patterns within the minimal context containing the synonym and its dependent. For each minimal context a different set of rules is defined with respect to the modifiers and complements the words are licensed for. The extracted dependency collocations are linked with the WordNet synonyms. With this we achieve two goals: to define the lexical paraphrases suitable for a given context and to augment available lexicalsemantic resources with linguistic information (the dependency collocations in which synonyms are interchangeable).

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تاریخ انتشار 2015