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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149215
Doc. No : ET21007
Main Entry : Zhu Zhang
Title Proper : Natural Language Relations: Classification and Application
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : In this dissertation, we study computational models for classification and ap-plication of natural language relations. Specifically, two types of relations are ex-plored: inter-entity semantic relations (in the context of information extraction) andcross-document structural relations (semantic connections between sentences crossdocument boundary).We tackle the problem of natural language relation classification by a number ofsupervised, weakly-supervised, and transductive learning algorithms exploiting fea-.
Subject : Electericl tess
: برق
electronic file name : TL44153.pdf
Title and statement of responsibility and : Natural Language Relations: Classification and Application [Thesis]
 
 
 
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