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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 26  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
DE, IPSJ-DBS, IPSJ-IFAT [detail] 2023-09-21
15:50
Fukuoka Kitakyushu International Conference Center BoxPlotQA: Visual Question Answering for Measuring Five-Number Summary and Comparison Performance with Box Plot
Yusuke Tozaki, Hisashi Miyamori (Kyoto Sangyo Univ.) DE2023-16
Recently, visual question and answer (VQA) research on document and chart images, as well as natural images, has attract... [more] DE2023-16
pp.31-36
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
NLC, IPSJ-DC 2018-09-07
15:30
Tokyo Seikei University [Invited Lecture]
Toru Shimizu (Yahoo Japan) NLC2018-24
In this presentation, we report highlights from 56th Annual Meeting of the Association for Computational Linguistics (AC... [more] NLC2018-24
p.93
SP 2018-08-27
11:35
Kyoto Kyoto Univ. [Poster Presentation] Question answering system by integration of intention understanding and keyword extraction using attention-based LSTM
Yuki Matsuyoshi, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2018-24
In an information society, we have many opportunities to use machines and computer software in various fields. Before us... [more] SP2018-24
pp.9-14
LOIS, ICM 2018-01-19
15:45
Kumamoto Sojo University Construction and Network Characteristics of the Tourism CMS Prototype System using LOD
Toshihiko Wakahara, Toshitaka Maki, Kazuki Takahashi, Naoki Kawahara, Kento Nakai, Mami Hirai, Yudai Hiraki, Daiki Koga (FIT), Akihisa Kodate, Noboru Sonehara (Tsuda) ICM2017-54 LOIS2017-70
In recent years, the Internet has entered the era of big data, the amount of data is dramatically increasing. Linked Ope... [more] ICM2017-54 LOIS2017-70
pp.117-122
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
HCGSYMPO
(2nd)
2015-12-16
- 2015-12-18
Toyama Toyama International Conference Center Prototype Development of a Question Answering System for Comic Contents
Shinnosuke Iwaoki, Ryo Yamashita, Yuki Akai, Matsushita Mitsunori (Kansai Univ.)
The objective of our research is to realize a question answering system for comics.Because a comic has multimodal conten... [more]
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2015-12-03
13:30
Aichi Nagoya Inst of Tech. Detection of Mathematical Formula Regions in Images of Scientific Papers by using Deep Learning and OCR
Shintaro Date, Hideki Isozaki (Okayama Pref. Univ.) NLC2015-37
We are building a QA system about scientific literatures.
We can ask questions such as ``what is the definition of C-va... [more]
NLC2015-37
pp.19-24
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
KBSE 2014-01-27
11:10
Tokyo Kikai-Shinko-Kaikan Bldg A Proposal on Answer Sentence Generation Method for Question Answering Using Statistical Machine Translation
Tessei Yamada, Tatsuya Arakawa (Gunma NCT) KBSE2013-66
Question answering generally generates the answer to the question by extracting the named entity from the sentences cont... [more] KBSE2013-66
pp.7-12
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
CNR 2011-08-24
16:30
Hokkaido 11F, Graduate School of IST. Hokkaido Univ. -
Tomoaki Sano, Masayuki Kanbara (Naist), Norihiro Hagita (Naist/ATR), Takahiro Miyashita, Kazuhiko Shinozawa (ATR) CNR2011-15
This paper proposes a mediation agent on twitter for fast response Q & A service. A real-time web which can provide user... [more] CNR2011-15
pp.29-32
NLC, SP
(Joint) [detail]
2010-12-21
13:00
Tokyo National Olympics Memorial Youth Center [Invited Talk] Building Watson -- Can a Computer Compete against the Best Human Contestants in the TV Quiz Show --
Hiroshi Kanayama (IBM Japan) NLC2010-23 SP2010-96
IBM Research undertook a challenge to build a computer system, Watson, that could compete at the human champion level in... [more] NLC2010-23 SP2010-96
p.89
AI 2009-05-22
10:30
Tokyo   Natural language Q&A method for RDF information resource
Chie Akita, Motohiro Mase, Yasuhiko Kitamura (Kwansei Gakuin Univ.) AI2009-2
In this paper, we propose a questioning and answering system which responses to a natural language question about RDF in... [more] AI2009-2
pp.7-12
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 2009-03-03
17:15
Miyagi Laforet Zao Resort & Spa Intelligent Web Retrieval Method Targeting Complex Question Sentence to Obtain the Answer
Kazuya Genmei, Hirokazu Watabe, Tsukasa Kawaoka (Doshisha Univ.) AI2008-84
This paper proposes the Intelligent Web Retrieval Method, the technique obtaining the word answer for the question sente... [more] AI2008-84
pp.117-122
SP, NLC 2008-12-10
16:10
Tokyo Waseda Univ. Building a Question-Answer System based on RIME-TK, a Toolkit for Dialogue and Behavior Controller of Robots and Agents
Hiromi Narimatsu (Tsuda College), Mikio Nakano (Honda Research Institute Japan Co., Ltd.), Kotaro Funakoshi, Yuji Hasegawa, Hiroshi Tsujino (Tsuda College) NLC2008-70 SP2008-125
This manuscript reports our effort for facilitating building
question-answering functions using RIME-TK, which is a too... [more]
NLC2008-70 SP2008-125
pp.273-278
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