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 |
HIP, HCS (Joint) [detail] |
2023-09-12 10:05 |
Ehime |
University of Human Environments |
The effect of the difference in the shape of the presented characters on the correct answer rate of the reading comprehension question Yuhi Sezaki, Ai Hagihara, Sayaka Takano, Satoshi Nakamura (Meiji Univ.), Akiyuki Kake (Wacom) HCS2023-65 HIP2023-55 |
There have been many studies on letter shapes and memorability, and it is clear that letter shapes with low readability ... [more] |
HCS2023-65 HIP2023-55 pp.47-52 |
ET |
2022-07-09 13:35 |
Online |
Online |
Retrieval of Similar Questions from QAbot Data based on Transformer Language Model Zihao Chen, Hisashi Handa, Kimiaki Shirahama (Kindai Univ.) ET2022-9 |
It has recently become possible to collect a large amount of question-answer pairs that arose in certain educational cou... [more] |
ET2022-9 pp.5-11 |
SC |
2022-05-27 13:25 |
Online |
Online |
Improvement of Performance of Question and Answering System using Ontology Generation Ayato Kuwana, Incheon Paik (UoA) SC2022-7 |
Automating ontology generation from raw text corpus is required to meet the ontology demand. As an initial attempt of on... [more] |
SC2022-7 pp.37-42 |
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 |
SWIM |
2021-02-19 15:25 |
Online |
Online |
Proposal of Interactive Class Evaluation Questionnaire System Ryo Okuda, Hiroki Suguri (Miyagi Univ.) SWIM2020-18 |
In recent years, chatbots are frequently introduced to improve work efficiency and reduce labor. In addition, chatbots a... [more] |
SWIM2020-18 pp.38-43 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-18 13:25 |
Online |
Online |
A Note on Estimation of Semantic Content Based on a Question Answering Model Using Brain Activity Data while Viewing Images
-- Improvement of Estimation Performance Based on Fine-tuning of the VQA model -- Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a semantic content estimation method based on a question and answer generation model using bra... [more] |
|
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 |
IN |
2019-01-22 11:15 |
Aichi |
WINC AICHI |
Logical Failure Detection in Question-and-Answer Sessions Towards A Practical Mock Interview System Kohei Shimizu, Komei Arasawa, Ryohei Watanabe, Shun Hattori (Muroran Inst. of Tech.) IN2018-83 |
In job hunting, oral interviews are important examinations for job hunters to appeal to their targeted companies and for... [more] |
IN2018-83 pp.63-68 |
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] |
|
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 |