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Title:
A model learning device, a person attribute classifying apparatus, a method, and a program
Document Type and Number:
Japanese Patent JP5964916
Kind Code:
B2
Abstract:
PROBLEM TO BE SOLVED: To accurately classify person attributes.SOLUTION: A learning feature extraction unit 203 extracts, from morpheme analysis results of user utterance for learning to which classification of person attributes represented by user utterance has been applied in advance and utterance having occurred before the user utterance for learning and inducting the user utterance for learning, a feature indicating notation of a word, a feature indicating the category of a word, a feature indicating a function word and a feature indicating an adverb. A learning unit 212 learns, on the basis of the respective features extracted by the learning feature extraction unit 203 and the classification of person attributes which has been applied to the user utterance for learning in advance, a classification model for classifying person attributes represented by user utterance from the respective features extracted from utterance.SELECTED DRAWING: Figure 1

Inventors:
Toru Hirano
Kobayashi Nozomi
Ryuichiro Tochu
Toshiro Makino
Application Number:
JP2014207510A
Publication Date:
August 03, 2016
Filing Date:
October 08, 2014
Export Citation:
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Assignee:
Nippon Telegraph and Telephone Corporation
International Classes:
G06F17/27
Other References:
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伊藤 直貴、Hugo Hernault、石塚 満,教師なし学習を用いた談話解析手法に関する一検討,第72回(平成22年)全国大会講演論文集(2) 人工知能と認知科学,日本,社団法人 情報処理学会,2010年 3月 8日,p.543-544
青木 優、山本 和英,Blogを対象とした商品価値の分析実験,言語処理学会第13回年次大会発表論文集,日本,言語処理学会,2007年 3月19日,p.680-683
奥村 学,プログにおける偏り補正のための書き手のプロファイリング,人工知能学会誌,日本,(社)人工知能学会,2008年11月 1日,第23巻、第6号,p.798-802
Dong Nguyen, Noah A. Smith and Carolyn P. Rose,Author age prediction from text using linear regression,LaTeCH '11 Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities ,米国,Association for Computational Linguistics,2011年 6月24日,p.115-123,[online],
Attorney, Agent or Firm:
Patent Service Corporation Taiyo International Patent Office



 
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