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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2021-03-04
16:20
Online Online VQA for Medical Image Data based on Image Feature Extraction and Fusion
Hideo Umada, Masaki Aono (TUT) PRMU2020-81
In recent years, there has been a remarkable growth in research on deep learning in the fields of computer vision and na... [more] PRMU2020-81
pp.71-76
TL 2019-03-18
14:00
Tokyo Waseda University Proposal of Hierarchical Structured Semantic Space Model for Implementation of Learning of Logic and Facts by Input Sentences.
Akinori Takada (Ferris Univ.) TL2018-59
In this article I propose "Hierarchical Structured Semantic Space Model (H3SM)" as a method to construct natural languag... [more] TL2018-59
pp.47-52
TL 2017-03-21
10:30
Aichi Nagoya International Centter Method and Implementation of Multiplied Semantic Expansion(MSE) for Semantic Parsing.
Akinori Takada (Ferris Univ.) TL2016-66
In a rule-based natural language question-answering system, input sentences are transformed into meta-form format which ... [more] TL2016-66
pp.7-12
NC, MBE
(Joint)
2014-03-18
15:40
Tokyo Tamagawa University A Time-series Processing Neural Network for Natural Language
Yukinori Homma, Masafumi Hagiwara (Keio Univ.) NC2013-114
This paper proposes a novel time-series processing neural network to treat natural language.The proposed network is comp... [more] NC2013-114
pp.151-156
TL 2013-12-14
09:40
Tokyo WASEDA University Inference and Learning in Hierarchical Structured Semantic Space Model.
Akinori Takada (Ferris Univ.) TL2013-48
In this article I propose a method of inference in "Hierarchical Structured Semantic Space Model" as a method to constru... [more] TL2013-48
pp.7-12
TL 2013-10-19
16:00
Tokyo WASEDA Univ. Knowledge Acquisition by Hierarchical Structured Semantic Space Model.
Akinori Takada (Ferris Univ.) TL2013-46
In this article I propose "Hierarchical Structured Semantic Space Model" as a method to construct natural language based... [more] TL2013-46
pp.31-36
MBE, NC
(Joint)
2012-03-14
15:25
Tokyo Tamagawa University Natural Language Neural Network and its Application to Question-Answering System
Tsukasa Sagara, Masafumi Hagiwara (Keio Univ.) NC2011-139
This paper proposes a novel neural network to treat natural language. The proposed neural network is composed of 3 layer... [more] NC2011-139
pp.105-110
KBSE 2009-03-05
13:45
Aichi NANZAN University satellite campus The Proposal of Question-answering System Based on Situation Model -- Representation Method of Situation Model by means of State Transition Table --
Takahiro Misaki, Kazuhiro Uenosono, Hideji Enokizu, Seiichi Komiya (Shibaura Inst. of Tech.) KBSE2008-53
People comprehend the story to construct the mental representation of the situations described in the text. Such mental ... [more] KBSE2008-53
pp.7-12
AI, IPSJ-ICS, JSAI-KBS 2009-03-02
14:25
Miyagi Laforet Zao Resort & Spa A Method of Getting Answer by Processing Words Meaning from Knowledge Sentences
Hiroki Azuma, Eriko Yoshimura, Hirokazu Watabe, Tsukasa Kawaoka (Doshisha Univ.) AI2008-71
A similar judgment ability to man is hoped for to the computer for the achievement of the computer that man and communic... [more] AI2008-71
pp.41-46
KBSE, AI 2008-01-22
09:20
Kanagawa Keio Unv. Hiyoshi Campus A Portal Based Question-Answering System for Information Supply
Kousuke Shirai, Ning Zhong (Maebit) AI2007-36 KBSE2007-46
With the rapid spread of the Web in the recent years, the conventional portal sites and the keyword-based search engines... [more] AI2007-36 KBSE2007-46
pp.49-54
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