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Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture
Author(s) -
Kyosuke Nishida,
Kugatsu Sadamitsu,
Ryuichiro Higashinaka,
Yoshihiro Matsuo
Publication year - 2017
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10484
Subject(s) - computer science , table (database) , convolutional neural network , artificial intelligence , artificial neural network , row , recurrent neural network , deep learning , natural language processing , architecture , pattern recognition (psychology) , information retrieval , data mining , database , art , visual arts

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