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2015 Fiscal Year Final Research Report

Domain Adaptation for Word Sense Disambiguation using Optimization of Training Data

Research Project

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Project/Area Number 24700138
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Intelligent informatics
Research InstitutionIbaraki University (2014-2015)
Tokyo University of Agriculture and Technology (2012-2013)

Principal Investigator

Kanako Komiya  茨城大学, 工学部, 講師 (10592339)

Project Period (FY) 2012-04-01 – 2016-03-31
Keywords領域適応 / 語義曖昧性解消 / 用例選択
Outline of Final Research Achievements

The research project developed the method to optimize the training data set of domain adaptation for word sense disambiguation. Firstly a number of training data set were generated and then the best one is selected using some criteria. The degree of confidence, which is a criterion used for the instance selection when active learning is carried out, and a score using LOO-Bound, which is an error rate of SVM when leave-one-out estimation is performed, are used for the criterion.

Free Research Field

自然言語処理

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Published: 2017-05-10  

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