Updated on 2024/02/15

写真a

 
NANBA Hidetsugu
 
Organization
Faculty of Science and Engineering Professor
Other responsible organization
Data Science for Business Innovation Course of Graduate School of Science and Engineering, Master's Program
Data Science for Business Innovation Course of Graduate School of Science and Engineering, Doctoral Program
Contact information
The inquiry by e-mail is 《here
External link

Degree

  • 博士(情報科学) ( 北陸先端科学技術大学院大学 )

  • 修士(情報科学) ( 北陸先端科学技術大学院大学 )

Education

  • 2001.3
     

    Japan Advanced Institute of Science and Technology   doctor course   completed

  • 1998.3
     

    Japan Advanced Institute of Science and Technology   master course   completed

  • 1996.3
     

    Tokyo University of Science   graduated

  • 1991.3
     

    広島学院高等学校   graduated

Research History

  • 2019.4 -  

    中央大学理工学部教授

  • 2010.4 - 2019.3

    広島市立大学大学院情報科学研究科准教授

  • 2012.9 - 2012.10

    "Pennsylvania State University, visiting scholar"

  • 2012.9 - 2012.10

    Pennsylvania State University, visiting scholar

  • 2002.10 - 2010.3

    広島市立大学情報科学部講師

  • 2007.8    

    島根大学総合理工学部数理・情報学科非常勤講師

  • 2002.4 - 2002.9

    東京工業大学精密工学研究所助手

  • 2001.4 - 2002.3

    日本学術振興会特別研究員(PD)

  • 1999.8 - 2000.3

    文部省学術情報センター特別共同利用研究員

▼display all

Professional Memberships

  • 観光情報学会

  • 日本データベース学会

  • 情報社会学会

  • 地理情報システム学会

  • 人工知能学会

  • Association for Computational Linguistics

  • Association for Computing Machinery

  • 情報処理学会

  • 言語処理学会

▼display all

Research Interests

  • citation analysis

  • World Wide Web

  • digital library

  • information retrieval

  • text mining

  • thesaurus

  • tourism informatics

  • ontology

  • patent

  • natural language processing

  • automatic text summarization

Research Areas

  • Informatics / Intelligent informatics  / Intelligent informatics

  • Informatics / Web informatics and service informatics  / "Web informatics, Service informatics"

  • Humanities & Social Sciences / Library and information science, humanistic and social informatics  / Library and information science/Humanistic social informatics

  • Humanities & Social Sciences / Tourism studies  / Tourism Studies

Papers

  • 2050年の情報処理:10. 2050年の学術情報処理 Invited

    難波英嗣

    情報処理   61 ( 1 )   460 - 461   2020

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  • Classification and Visualization of Travel Blog Entries Based on Types of Tourism Reviewed

    Shibata, N, Shinoda, H, Nanba, H, Ishino, A, Takezawa, T

    Society for Tourism Informatics   16 ( 1 )   49 - 62   2020

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  • Classification and Visualization of Travel Blog Entries Based on Types of Tourism Reviewed

    Shibata, N, Shinoda, H, Nanba, H, Ishino, A, Takezawa, T

    Proceedings of ENTER 2020   27 - 37   2020

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  • Investigating the Effectiveness of Computer-produced Summaries Obtained from Multiple Travel Blog Entries Reviewed

    Iinuma, S, Nanba, H, Takezawa, T

    Information Technology & Tourism   21 ( 1 )   83 - 103   2019

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  • Automatic Summarization of Multiple Travel Blog Entries Focusing on Travelers’ Behavior Reviewed

    Iinuma, S, Nanba, H, Takezawa, T

    Proceedings of ENTER 2018   2018

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  • Construction of an Academic Resource Repository Reviewed

    Nanba, H

    Proceedings of Workshop of Toward Effective Support for Academic Information Search, ICADL 2018   2018

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  • 旅行者の行動分析のための旅行ブログエントリの属性推定 Reviewed

    藤井一輝, 難波英嗣, 竹澤寿幸, 石野亜耶, 奥村学, 倉田洋平

    観光と情報   13 ( 1 )   2017

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  • 場所と旅行者の行動に焦点を当てた複数旅行ブログエントリの自動要約 Reviewed

    飯沼俊平, 難波英嗣, 竹澤寿幸

    観光と情報   13 ( 1 )   2017

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  • Enriching Travel Guidebooks with Travel Blog Entries and Archives of Answered Questions Reviewed

    Fujii, K, Nanba, H, Takezawa, T, Ishino, A

    Proceedings of ENTER 2016   2016.2

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  • NEXTI at NTCIR-12 IMine-2 Task Reviewed

    Nanba, H, Sakai, T, Kando, N, Keyaki, A, Eguchi, K, Hatano, K, Shimizu, T, Hirate, Y, Fujii, A

    Proceedings of the 12th NTCIR Workshop Meeting on Evaluation of Information Access Technologies:Information Retrieval, Question Answering and Cross-lingual Information Access   2016

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  • HCU at the NTCIR-12 MedNLPDoc Task Reviewed

    Hiramae, A, Nanba, H, Takezawa T

    Proceedings of the 12th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-lingual Information Access   2016

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  • 要素技術とその効果を用いた学術論文の自動分類 Reviewed

    福田 悟志, 難波 英嗣, 竹澤 寿幸

    日本図書館情報学会誌   63 ( 3 )   145 - 162   2016

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  • Travellers’ Behaviour Analysis Based on Automatically Identified Attributes from Travel Blog Entries Reviewed

    Fujii, K, Nanba, H, Takezawa T, Takezawa, T, Ishino, A, Okumura, M, Kurata, Y

    Proceedings of Workshop of Artificial Intelligence for Tourism, PRICAI 2016   2016

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  • Mapping Historical Documents to Geographical Space Reviewed

    Hirayama, T, Nanba, H, Takezawa T, Takezawa, T

    Proceedings of International Workshop on Mobile Ubiquitous Systems, Infrastructures, Communications, And AppLications   2016

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  • Quick Evaluation of Research Impacts at Conferences using SNS Reviewed

    Fukuda, S, Nakahashi, H, Nanba, H, Takezawa, T

    Proceedings of the 12th International Workshop on Text-based Information Retrieval, in conjunction with DEXA 2015   2015.9

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  • Evaluation of the Industrial and Social Impacts of Academic Research Using Patents and News Articles Reviewed

    Iinuma, S, Fukuda, S, Nanba, H, Takezawa, T

    The International Association for Computers & Information Science (ACIS) International Journal of Computer & Information Science   16 ( 1 )   12 - 21   2015.1

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  • Project Next IR -情報検索の失敗分析- Invited

    難波英嗣, 酒井哲也, 神門典子

    情報処理   57 ( 1 )   24 - 25   2015

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  • Hiroshima City University at NTCIR-11 Cooking Recipe Search Task

    Nanba, H

    Proceedings of the 10th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-lingual Information Access   2014.12

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  • Construction of a Cooking Ontology from Cooking Recipes and Patents Reviewed

    Nanba, H, Doi, Y, Takezawa, T, Sumiya, K, Tsujita, M

    Proceedings of Workshop on Smart Technologyfor Cooking and Eating Activities : CEA2014 (CEA 2014)   2014.9

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  • 旅行ブログエントリと質問応答コンテンツを利用した旅行ガイドブッ クの情報拡張 Reviewed

    石野 亜耶, 藤井一輝, 藤原泰士, 前田 剛, 難波 英嗣, 竹澤 寿幸

    人工知能学会論文誌   29   328 - 342   2014.5

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  • Extraction of Naming Concepts Based on Modifiers in Recipe Titles Reviewed

    Tachibana, A, Wakamiya, S, Nanba, H, Sumiya, K

    International MultiConference of Engineers and Computer Scientists 2014 (IMECS 2014)   2014.3

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  • Automatic Identification of Know-How Blog Entries from a Travel Blog Database Reviewed

    Nanba, H, Douke, S, Takezawa, T

    International Conference on Advanced Tourism Informatics (ICATI 2013)   2013.12

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  • Classification of Research Papers Focusing on Elemental Technologies and Their Effects Reviewed

    Fukuda, S, Nanba, H, Takezawa, T, Aizawa, A

    Proceedings of the 6th Language & Technology Conference (LTC'13)   2013.12

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  • Automatic Extraction of Event Information from Newspaper Articles and Web Pages Reviewed

    Nanba, H, Saito, R, Ishino, A, Takezawa, T

    ICADL 2013, LNCS 8279   2013.12

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  • 論文と特許からの技術動向情報の抽出と可視化 Reviewed

    福田悟志, 難波英嗣, 竹澤寿幸

    情報処理学会論文誌『データベース』   57   2013.3

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  • Extracting Transportation Information and Traffic Problems from Tweets During a Disaster: Where do you evacuate to? Reviewed

    Ishino, A, Odawara, S, Nanba, H, Takezawa, T

    Proceedings of the Second International Conference on Advances in Information Mining and Management (IMMM 2012).   2012.10

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  • Construction of a System for Providing Travel Information along Hiroden Streetcar Lines Reviewed

    Ishino, A, Nanba, H, Takezawa, T

    In Proceedings of the 3rd IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2012).   2012.9

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  • Extraction and Visualization of Technical Trend Information from Research Papers and Patents Reviewed

    Fukuda, S, Nanba, H, Takezawa, T

    Proceedings of the 1st International Workshop on Mining Scientific Publications (collocated with JCDL 2012)   2012.6

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  • Automatic Translation of Scholarly Terms into Patent Terms Using Synonym Extraction Techniques Reviewed

    Nanba, H, Takezawa, T, Uchiyama, K, Aizawa, A

    Proceedings of the 8th International Conference on Language Resources and Evaluation   2012.5

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  • Automatic Classification of Link Polarity in Blog Entries Reviewed

    Ishino, A, Nanba, H, Takezawa, T

    Proceedings of the 7th Asian Information Retrieval Societies Conference   2011.12

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  • Providing Ad Links to Travel Blog Entries Based on Link Types Reviewed

    Ishino, A, Nanba, H, Takezawa, T

    Proceedings of the 9th Workshop on Asian Language Resources collocated with IJCNLP 2011   2011.11

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  • Automatic Construction of a Bilingual Thesaurus using Citation Analysis Reviewed

    Nanba, H, Mayumi, S, Takezawa, T

    Proceedings of the 4th International CIKM Workshop on Patent Information Retrieval (PaIR'11)   2011.10

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  • Circulation of Collective Intelligence through Patents: An Early Progress Report Reviewed

    Hashida, K, Nanba, H, Inui, T, Iwayama, M, Hashimoto, T, Fujii, A

    Proceedings of PACLING 2011   2011.7

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  • OSUSUME: Cross-lingual Recommender System for Research Papers Reviewed

    Uchiyama, K, Aizawa, A, Nanba, H, Sagara, T

    Proceedings of IUI 2011 Workshop on Context-awareness in Retrieval and Recommendation   2011.2

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  • Automatic Compilation of an Online Travel Portal from Automatically Extracted Travel Blog Entries Reviewed

    Ishino, A, Nanba, H, Takezawa, T

    Proceedings of the 18th International Conference on Information Technology and Travel & Tourism   2011.1

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  • 旅行ブログエントリからの観光情報の自動抽出 Reviewed

    石野 亜耶, 難波 英嗣, 竹澤 寿幸

    知能と情報   22 ( 6 )   667 - 679   2010.12

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  • 動向情報の抽出と要約 -動向をまとめる-

    知能と情報   22 ( 5 )   2010.10

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  • Hiroshima City University at NTCIR-8 Patent Mining Task

    Nanba, H, Kondo, T, Takezawa, T

    Proceedings of the 8th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-lingual Information Access   415 - 419   2010.6

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  • 言い換えを用いたテキスト要約の自動評価 Reviewed

    平原一帆, 難波英嗣, 竹澤寿幸, 奥村学

    情報処理学会論文誌データベース   3 ( 2 )   91 - 101   2010.6

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  • Overview of the Patent Mining Task at the NTCIR-8 Workshop

    Nanba, H, Fujii, A, Iwayama, M, Hashimoto, T

    Proceedings of the 8th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering, and Cross-lingual Information Access   293 - 302   2010.6

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  • Hiroshima City University at Evaluation Subtask in the NTCIR-8 Patent Translation Task

    Nanba, H, Hirahara, K, Takezawa, T

    Proceedings of the 8th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering, and Cross-lingual Information Access   354 - 358   2010.6

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  • (研究ノート) 新しい産学連携システム:特許分類を用いたライセンシーの探索 Reviewed

    加藤 直規, 難波 英嗣

    産学連携学   6 ( 2 )   56 - 62   2010.5

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  • Automatic creation of a technical trend map from research papers and patents Reviewed

    Hidetsugu Nanba, Tomoki Kondo, Toshiyuki Takezawa

    International Conference on Information and Knowledge Management, Proceedings   11 - 15   2010

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    For a researcher in a field of great industrial relevance, retrieving and analyzing research papers and patents has become an important aspect of assessing the scope of the field. We propose a method for creating a technical trend map automatically from both research papers and patents. For the construction of the technical trend map, we focus on the elemental (underlying) technologies used in a particular field, and their effects. Knowledge of the history and effects of the elemental technologies used in a particular field is essential for grasping the outline of technical trends in the field. Therefore, we have constructed a method that can recognize the application of elemental technologies and their effects in any research field. To investigate the effectiveness of our method, we conducted an experiment using the data in the NTCIR-8 Patent Mining Task. From our experimental results, we obtained Recall and Precision scores of 0.160 and 0.491, respectively, for the analysis of research papers. We also obtained Recall and Precision scores of 0.431 and 0.545, respectively, for the analysis of patents. Finally, we have constructed a system that creates an effective technical trend map for a given field. © 2010 ACM.

    DOI: 10.1145/1871888.1871891

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  • Automatic Evaluation of Texts by Using Paraphrase Reviewed

    Hirahara, K, Nanba, H, Takezawa, T, Okumura, M

    Proceedings of the 4th Language & Technology Conference (LTC'09)   370 - 374   2009.11

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  • Technical Trend Analysis by Analyzing Research Papers' Titles Reviewed

    Kondo, T, Nanba, H, Takezawa, T, Okumura, M

    Proceedings of the 4th Language & Technology Conference (LTC'09)   234 - 238   2009.11

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  • プレゼンテーションスライド情報の構造抽出 Reviewed

    羽山 徹彩, 難波 英嗣, 國藤 進

    電子情報通信学会論文誌   J92-D ( 9 )   2009.9

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  • 2種類の翻訳システムを用いた学術論文の特許分類体系への自動分類 Reviewed

    難波 英嗣, 竹澤 寿幸

    情報処理学会論文誌データベース   2 ( 3 )   76 - 86   2009.9

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  • Classification of Research Papers into a Patent Classification System Using Two Translation Models Reviewed

    Nanba, H, Takezawa, T

    Proceedings of Workshop on Text and Citation Analysis for Scholarly Digital Libraries, the Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processi   27 - 35   2009.8

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  • Automatic Compilation of Travel Information from Automatically Identified Travel Blogs Reviewed

    Nanba, H, Taguma, H, Ozaki, T, Kobayashi, D, Ishino, A, Takezawa, T

    Proceedings of the Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing, Short Paper   205 - 208   2009.8

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  • 論文用語の特許用語への自動変換 Reviewed

    難波 英嗣, 釜屋 英昭, 竹澤 寿幸, 奥村 学, 新森 昭宏, 谷川 英和

    情報処理学会論文誌データベース   2 ( 1 )   81 - 92   2009.3

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  • Automatic translation of scholarly terms into patent terms Reviewed

    Hidetsugu Nanba, Hideaki Kamaya, Toshiyuki Takezawa, Manabu Okumura, Akihiro Shinmori, Hidekazu Tanigawa

    International Conference on Information and Knowledge Management, Proceedings   21 - 24   2009

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    For a researcher in a field with high industrial relevance, retrieving research papers and patents has become an important aspect of assessing the scope of the field. However, retrieving patents using keywords is a laborious task for researchers, because the terms used in patents are often more abstract than those used in research papers, to try to widen the scope of the claims. We propose two methods for translating scholarly terms into patent terms: the "citation-based method" and the "thesaurus-based method". We also propose a method combining these two with the existing "Mase's method". To confirm the effectiveness of our methods, we conducted some examinations, and found that the combined method performed the best. Copyright 2009 ACM.

    DOI: 10.1145/1651343.1651348

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  • Searching for Illustrative Sentences for Multiword Expressions in a Research Paper Database Reviewed

    Nanba, H, Morishita, S

    Proceedings of the 11th International Conference on Asia-Pacific Digital Libraries (ICADL 2008)   114 - 123   2008.12

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  • Overview of the Patent Mining Task at the NTCIR-7 Workshop

    Nanba, H, Fujii, A, Iwayama, M, Hashimoto, T

    Proceedings of the 7th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-lingual Information Access   325 - 332   2008.12

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  • Extraction of Trend Information from Newspaper Articles: Hiroshima City University at NTCIR-7 MuST

    Nanba, H

    Proceedings of the 7th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-lingual Information Access   489 - 493   2008.12

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  • Extraction of Opinion Sentences using Machine Learning: Hiroshima City University at NTCIR-7 MOAT

    Kobayashi, D, Nanba, H, Takezawa, T

    Proceedings of the 7th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-lingual Information Access   255 - 259   2008.12

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  • Hiroshima City University at NTCIR-7 Patent Mining Task

    Nanba, H

    Proceedings of the 7th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-lingual Information Access   369 - 372   2008.12

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  • Structure Extraction from Presentation Slide Information Reviewed

    Hayama, T, Kunifuji, S, Nanba, H

    Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2008)   678 - 687   2008.12

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  • Automatic extraction of citation information in Japanese patent applications Reviewed

    Hidetsugu Nanba, Natsumi Anzen, Manabu Okumura

    International Journal on Digital Libraries   9 ( 2 )   151 - 161   2008.11

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    The need for academic researchers to retrieve patents and research papers is increasing, because applying for patents is now considered an important research activity. However, retrieving patents using keywords is a laborious task for researchers, because the terms used in patents for the purpose of enlarging the scope of the claims are generally more abstract than those used in research papers. Therefore, we have constructed a framework that facilitates patent retrieval for researchers, and have integrated research papers and patents by analysing the citation relationships between them. We obtained cited research papers in patents using two steps: (1) detection of sentences containing bibliographic information, and (2) extraction of bibliographic information from those sentences. To investigate the effectiveness of our method, we conducted two experiments. In the experiment involving Step 1, we prepared 42,073 sentences, among which a human subject manually identified 1,476 sentences containing citations of papers. For Step 2, we prepared 3,000 sentences, in which the titles, authors, and other bibliographic information were manually identified. We obtained a precision of 91.6%, and a recall of 86.9% in Step 1, and a precision of 86.2% and a recall of 85.1% in Step 2. Finally, we constructed an information retrieval system that provided two methods of retrieving research papers and patents. One method was retrieval by query, and another was from the citation relationships between research papers and patents. © 2008 Springer-Verlag.

    DOI: 10.1007/s00799-008-0045-x

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  • Identification of Bibliographic Information Written in both Japanese and English Reviewed

    Taniguchi, Y, Nanba, H

    Research and Advanced Technology for Digital Libraries. 12th European Conference, ECDL 2008, Aarhus, Denmark, September 2008 Proceedings.   431 - 433   2008.9

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  • The patent mining task in the seventh NTCIR workshop

    Hidetsugu Nanba, Atsushi Fujii

    International Conference on Information and Knowledge Management, Proceedings   25 - 31   2008

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    This paper introduces the Patent Mining Task of the Seventh NTCIR Workshop and the test collections produced in this task. The task's goal was the classification of research papers written in either Japanese or English in terms of the International Patent Classification (IPC) system, which is a global standard. For this task, 12 participant groups submitted 49 runs. In this paper, we also report the evaluation results of the task. Copyright 2008 ACM.

    DOI: 10.1145/1458572.1458580

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  • Extraction and Visualization of Trend Information from Newspaper Articles and Blogs

    Nanba, H, Okuda, N, Okumura, M

    Proceedings of the 6th NTCIR Workshop   243 - 248   2007.5

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  • Query Expansion using an Automatically Constructed Thesaurus

    Nanba, H

    Proceedings of the 6th NTCIR Workshop   414 - 419   2007.5

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  • 抜粋による複数文書要約を評価するためのコーパスと評価指標 Reviewed

    平尾 努, 奥村 学, 福島 孝博, 難波 英嗣, 野畑 周

    情報処理学会論文誌データベース   48 ( SIG 14 )   60 - 68   2007

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  • An Automatic Method for Summary Evaluation Using Multiple Evaluation Results by a Manual Method Reviewed

    Nanba, H, Okumura, M

    Proceedings of COLING/ACL 2006 Main Conference Poster Sessions   603 - 610   2006.7

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  • Alignment between a technical paper and presentation sheets using a Hidden Markov Model Reviewed

    T Hayama, H Nanba, S Kunifuji

    Proceedings of the 2005 International Conference on Active Media Technology (AMT 2005)   102 - 106   2005

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    We have been studying the automatic generation of presentation sheets from a technical paper. Our approach consists of obtaining a set of rules for generating presentation sheets by applying machine learning techniques to many pairs of technical papers and their presentation sheets collected from the World Wide Web. As a first step, in this paper, we propose a method for aligning technical papers and presentation sheets. Our method is based on Jing's method, which uses a Hidden Markov Model (HMM). Although her method is useful to align short sentences in newspaper articles, it is inapplicable to align sentences in a paper including charts and long sentences. Therefore, we analyse features of papers and sheets, such as information from text appearance, and propose an alignment method that combines the use of these features and her method. The evaluation shows that our alignment method performed effectively.

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  • Automatic detection of survey articles Reviewed

    H Nanba, M Okumura

    RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES   3652   391 - 401   2005

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    We propose a method for detecting survey articles in a multilingual database. Generally, a survey article cites many important papers in a research domain. Using this feature, it is possible to detect survey articles. We applied HITS, which was devised to retrieve Web pages using the notions of authority and hub. We can consider that important papers and survey articles correspond to authorities and hubs, respectively. It is therefore possible to detect survey articles, by applying HITS to databases and by selecting papers with outstanding hub scores. However, HITS does not take into account the contents of each paper, so the algorithm may detect a paper citing many principal papers in mistake for survey articles. We therefore improve HITS by analysing the contents of each paper. We conducted an experiment and found that HITS was useful for the detection of survey articles, and that our method could improve HITS.

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  • Text Summarization Challenge 3 - Text Summarization Evaluation at NTCIR Workshop 4 -

    Hirao, T, Okumura, M, Fukusima, T, Nanba, H

    Proceedings of the 4th NTCIR Workshop   407 - 411   2004

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  • Bilingual PRESRI: Integration of Multiple Research Paper Databases Reviewed

    Nanba, H, Abekawa, T, Okumura, M, Saito, S

    Proceedings of RIAO 2004   195 - 211   2004

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  • Corpus and Evaluation Measures for Multiple Document Summarization with Multiple Sources Reviewed

    Hirao, T, Fukusima, T, Okumura, M, Nobata, C, Nanba, H

    Proceedings of the 20th International Conference on Computational Linguistics   535 - 541   2004

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  • Comparison of Some Automatic and Manual Methods for Summary Evaluation Based on the Text Summarization Challenge 2 Reviewed

    Nanba, H, Okumura, M

    Proceedings of the 4th International Conference on Language Resources and Evaluation   1029 - 1032   2004

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  • Detecting Sentence Boundaries in Japanese Speech Transcriptions Using a Morphological Analyzer Reviewed

    Tajima, S, Nanba, H, Okumura, M

    Proceedings of the 1st International Joint Conference on Natural Language Processing   207 - 212   2004

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  • Automatic Acquisition of Script Knowledge from a Text Collection Reviewed

    Fujiki, T, Nanba, H, Okumura, M

    Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics   91 - 94   2003

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  • Text Summarization Challenge 2, Text Summarization Evaluation at NTCIR Workshop 3

    Okumura, M, Fukushima, T, Nanba, H

    Proceedings of the Text Summarization Workshop Program (DUC 2003)   2003

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  • テキスト自動要約に関する最近の話題 Reviewed

    奥村学, 難波英嗣

    自然言語処理   9 ( 4 )   97 - 116   2002

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  • Some Examinations of Intrinsic Methods for Summary Evaluation Based on the Text Summarization Challenge (TSC) Reviewed

    Nanba, H, Okumura, M

    Proceedings of the International Conference on Language Resources and Evaluation   739 - 746   2002

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  • Text Summarization Challenge 2 / Text Summarization Evaluation at NTCIR Workshop3

    Fukushima, T, Okumura, M, Nanba, H

    Working Notes of the 3rd NTCIR Workshop Meeting, PART V   1 - 7   2002

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  • 要約の内的(intrinsic)な評価法に関するいくつかの考察―第2回NTCIRワークショップ自動要約タスク(TSC)を基に― Reviewed

    難波英嗣, 奥村学

    自然言語処理   9 ( 3 )   129 - 146   2002

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    CiNii Books

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  • 論文間の参照情報を考慮した関連論文の組織化 Reviewed

    難波英嗣, 奥村学

    情報処理学会論文誌   42 ( 11 )   2640 - 2649   2001

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  • Classification of Research Papers using Citation Links and Citation Types: Towards Automatic Review Article Generation Reviewed

    Nanba, H, Kando, N, Okumura, M

    Proceedings of the American Society for Information Science (ASIS) / the 11th SIG Classification Research Workshop, Classification for User Support and Learning   117 - 134   2000

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  • Producing More Readable Extracts by Revising Them Reviewed

    Hidetsugu Nanba, Manabu Okumura

    Proceedings of the 18th International Conference on Computational Linguistics   1071 - 1075   2000

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  • Towards multi-paper summarization using reference information Reviewed

    H Nanba, M Okumura

    IJCAI-99: PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 & 2   926 - 931   1999

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    This paper presents a system to support writing a survey of a specific domain. The system utilizes reference information that consists of reference relationships between papers and the information derived from the description around citations. We think the following are inevitable for writing a survey : collecting papers of the specific domain, and understanding their essence and differences among them. Therefore, we firstly extract fragments of papers where the author describes the essence of a referred paper and the differences between his paper and it(we call them reference areas). Then with the information of reference areas, we identify the types of reference relationships that indicate the reasons for citations(we call them reference types). These types make it possible to collect papers in the same domain. The system can display the collection of the papers. It can also show abstracts and reference areas of the collected papers. With the system, we can understand the relationships between the collected papers.

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  • 論文間の参照情報を考慮したサーベイ論文作成支援システムの開発 Reviewed

    難波英嗣, 奥村学

    自然言語処理   6 ( 5 )   43 - 62   1999

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  • Query-biased Summarization Based on Lexical Chaining Reviewed

    Okumura, M, Mochizuki, H, Nanba, H

    Proceedings of Pacific Association for Computational Linguistics   324 - 334   1999

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Books

  • Evaluating Information Retrieval and Access Tasks - NTCIR's Legacy of Research Impact (Chapter 3. Text Summarization Challenge: An Evaluation Program for Text Summarization および Chapter 4. Callenges in Patent Information Retrievalを分担執筆)

    ( Role: Joint author)

    Springer  2021 

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    Total pages:216   Responsible for pages:39-69   Language:English   Book type:Scholarly book

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  • マテリアルズ・インフォマティクスQ&A集-解析実務と応用事例-(第5節,問4:「自然言語解析のMI への応用とは?」を執筆)

    ( Role: Joint author)

    情報機構  2020 

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  • (自然言語処理シリーズ 5) 特許情報処理:言語処理的アプローチ

    監修 奥村学, 著者 藤井敦, 谷川英和, 岩山真, 難波英嗣, 山本幹雄, 内山将夫( Role: Joint author)

    コロナ社  2012.12  ( ISBN:9784339027556

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  • Theory and Applications for Advanced Text Mining ("Chapter 6: Automatic Compilation of Travel Information from Texts: A Survey"を執筆)

    Nanba, H, Ishino, A, Takezawa, T( Role: Joint author)

    2012.11  ( ISBN:9789535108528

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  • Current Challenges in Patent Information Retrieval (“Automatic Translation of Scholarly Terms into Patent Terms”の章を執筆)

    Nanba, H, Kamaya, H, Takezawa, T, Okumura, M, Shinmori, A, Tanigawa, H( Role: Joint author373-388)

    Springer  2011.5  ( ISBN:9783642192302

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  • 言語処理学事典(「文書要約」と「動向分析」の項目を執筆)

    難波英嗣( Role: Joint author340-343, 380-381)

    共立出版  2009.12 

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  • 知の科学 テキスト自動要約

    奥村学, 難波英嗣( Role: Joint author56-62, 69-112, 116-119, 140-141, 143-144)

    オーム社  2005.3  ( ISBN:4274200426

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  • 自動要約

    Inderjeet Mani著, 奥村学, 難波英嗣, 植田禎子( Role: Joint translator)

    共立出版  2003 

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MISC

  • テキスト間の類似度(連載:情報を計測し,法則化する〜今に活かせる計量情報学の経験則) Invited

    難波英嗣

    情報の科学と技術   70 ( 7 )   2020

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  • 料理レシピテキストの処理と活用 Invited

    山肩洋子, 難波英嗣, 森信介

    人工知能学会誌   34 ( 1 )   15 - 23   2019

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

    DOI: 10.11517/jjsai.34.1_15

    CiNii Books

    CiNii Research

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    Other Link: http://id.nii.ac.jp/1004/00009576/

  • Technical Trend Analysis for Research Papers and Patents

    Nanba, H, Fujii, A, Iwayama, M, Hashimoto, T

    情報管理   52 ( 6 )   2009.9

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  • テキスト要約の自動評価

    Hidetsugu Nanba, Tsutomu Hirao

    Journal of the Japanese Society for Artificial Intelligence   23 ( 1 )   10 - 16   2008

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    CiNii Books

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    Other Link: http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/9549

  • Intellectual property. Cross-genre information retrieval and technical trend analysis by integrating research papers and patents

    Nanba, H

    The Journal of Information Science and Technology Association   57 ( 10 )   483 - 487   2007

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  • 情報抽出を利用した複数文書要約

    難波英嗣

    知能と情報   18 ( 5 )   16 - 22   2006.10

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  • Text Summarization Challenge 2: Text Summarization Evaluation at NTCIR Workshop 3

    Okumura, M, Fukushima, T, Nanba, H, Hirao, T

    ACM SIGIR Forum   38 ( 1 )   29 - 38   2004

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  • Advanced Integration of Multiple Text Information on the World Wide Web

    Nanba, H

    Journal of the Japanese Society for Artificial Intelligence   19 ( 3 )   311 - 316   2004

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  • Text Summarization Challenge―自動要約の評価型ワークショップ―

    福島孝博, 奥村学, 難波英嗣

    情報処理   43 ( 12 )   1295 - 1299   2002

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  • ここまで来たテキスト自動要約

    難波英嗣, 奥村学

    情報処理   43 ( 12 )   1287 - 1294   2002

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  • Automated Text Summarization: A Survey

    Okumura, M, Nanba, H

    Journal of Natural Language Processing   6 ( 6 )   1 - 26   1999

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Presentations

  • 特許オントロジーの自動構築とその応用 Invited

    難波英嗣

    令和元年度産業日本語研究会・ワークショップ  2019 

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  • Automatic Compilation of Travel Information from Texts Invited International conference

    Nanba, H

    Asia Pacific Society for Computing and Information Technology (APSCIT 2017)  2017 

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  • Web上の学術リソースの検索 Invited

    難波英嗣

    第120回情報基礎とアクセス技術研究会・第47回デジタル図書館ワークショップ合同研究会  2016 

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  • 料理オントロジーの構築に関する研究事例 Invited

    難波英嗣

    HCGシンポジウム企画セッションIV「大規模料理レシピデータを用いた研究の最前線」  2015 

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  • テキストマイニング技術を活用した技術動向分析 Invited

    難波英嗣

    岡山県工業技術センター技術セミナー  2015 

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  • 文書分類技術を用いた検索支援および技術動向分析

    難波英嗣

    I-Scover シンポジウム  2014 

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  • Towards Automatic Generation of Survey Articles International conference

    Nanba, H

    Workshop on Content-based Approach to Scientific Information Systems  2013 

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  • ブログからのユーザの行動経路の自動抽出と可視化

    難波英嗣

    2012年電子情報通信学会総合大会 「大規模災害時におけるソーシャルメディアの知的活用」  2012 

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  • Web3.0がひらく社会

    難波英嗣

    関西電子情報産業協同組合総会  2008.5 

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  • 特許,論文データベースを統合した技術動向分析

    難波英嗣

    特許庁研究事業『大学技術移転のための特許情報の活用セミナー』  2008.2 

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  • <技術者・研究者のための>特許情報検索・技術動向分析入門 Invited

    難波英嗣

    情報機構  2008 

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  • 特許,論文データベースを統合した検索環境および動向分析ツールの開発

    難波英嗣

    ICTが支える産業クラスター形成シンポジウム  2007.3 

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  • テストコレクションを用いたテキスト自動要約研究の現状

    難波英嗣

    電子情報通信学会第6回Webインテリジェンスとインタラクション研究会  2006.7 

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  • 複数テキスト情報の可視化

    難波英嗣

    電子情報通信学会第3回Webインテリジェンスとインタラクション研究会  2005.7 

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  • Web structure mining

    難波英嗣, 是津 耕司

    電子情報通信学会第1回Webインテリジェンスとインタラクション研究会  2005.2 

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Awards

  • 平成28年度 広島市立大学 教員表彰

    2017.3   広島市立大学  

    難波英嗣

  • 日本図書館情報学会論文賞

    2017   日本図書館情報学会   要素技術とその効果を用いた学術論文の自動分類

    福田 悟志, 難波 英嗣, 竹澤 寿幸

  • データサイエンス・アドベンチャー杯入賞

    2014.3  

  • 電子情報通信学会マルチメディア・仮想環境基礎研究会 MVE賞

    2014.3   電子情報通信学会   料理レシピと特許データベースからの料理オントロジーの構築

    土居洋子, 辻田美穂, 難波英嗣, 竹澤寿幸, 角谷和俊

  • 平成23年度 広島市立大学 教員表彰

    2012.3   広島市立大学  

    難波英嗣

  • 平成22年度 情報処理学会論文誌 データベース 優秀論文賞

    2011.6  

  • 第15回電気通信普及財団テレコムシステム技術学生賞

    2000.3  

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Research Projects

  • 手順文書からの知識獲得

    2020.4 - 2024.3

    基盤研究(B) 

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    Grant type:Competitive

    Grant amount: \585000 ( Direct Cost: \450000 、 Indirect Cost: \135000 )

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  • 手順オントロジーの自動構築および情報検索への適用

    2019.4 - 2022.3

    基盤研究(C) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \4420000 ( Direct Cost: \3400000 、 Indirect Cost: \1020000 )

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  • データサイエンスを用いた情報活用機能の開発

    2020.4 - 2021.3

    受託研究費(公益財団法人中部科学技術センター) 

    難波英嗣

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    Grant type:Competitive

    Grant amount: \363000 ( Direct Cost: \330000 、 Indirect Cost: \33000 )

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  • JDreamIIIに実装しているIPC付与プログラム(教師データ)の強化と安定的なサービス提供のための技術支援

    2019.4 - 2021.3

    受託研究費(株式会社ジー・サーチ) 

    Hidetsugu Nanba

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    Grant type:Competitive

    Grant amount: \440000 ( Direct Cost: \400000 、 Indirect Cost: \40000 )

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  • 特許情報処理に関する研究

    2019.4 - 2021.3

    受託研究費(株式会社ジー・サーチ) 

    Hidetsugu Nanba

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    Grant type:Competitive

    Grant amount: \1000000 ( Direct Cost: \909090 、 Indirect Cost: \90910 )

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  • JDreamIIIに実装しているIPC付与プログラム(教師データ)の強化と安定的なサービス提供のための技術支援

    2019.4 - 2021.3

    受託研究費(株式会社ジー・サーチ) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \440000 ( Direct Cost: \400000 、 Indirect Cost: \40000 )

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  • 自然言語処理技術を用いた分類付与アルゴリズムおよび文章作成アルゴリズムの作成検討

    2019.4 - 2020.3

    共同研究費(株式会社ブリヂストン) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1500000 ( Direct Cost: \1350000 、 Indirect Cost: \150000 )

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  • 特許情報処理に関する研究

    2019.4 - 2020.3

    受託研究費(株式会社ジー・サーチ) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \499995 ( Direct Cost: \454540 、 Indirect Cost: \45455 )

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  • ビッグデータのデータマイニングによる産学連携の実証的研究

    2018.6 - 2020.3

    日本学術振興会  挑戦的研究(萌芽) 

    関本亮

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    Grant type:Competitive

    Grant amount: \611000 ( Direct Cost: \470000 、 Indirect Cost: \141000 )

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  • 自然言語処理技術を用いた分類付与アルゴリズムおよび文章作成アルゴリズムの作成検討

    2018.4 - 2019.3

    受託研究費(株式会社ブリヂストン) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \800000 ( Direct Cost: \730000 、 Indirect Cost: \70000 )

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  • 学術文献へ国際特許分類を自動付与するプログラム開発およびサービス実装

    2018.4 - 2019.3

    受託研究費(株式会社ジー・サーチ) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \216000 ( Direct Cost: \204400 、 Indirect Cost: \11600 )

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  • 特許公報から生成したシソーラスを用いた特許分類

    2018.4 - 2019.3

    受託研究費(株式会社アイ・アール・ディー) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \500000 ( Direct Cost: \460000 、 Indirect Cost: \40000 )

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  • 季節イベントに関する旅行ブログの自動検出

    2018.4 - 2019.3

    広島市立大学  特色研究費 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \497000 ( Direct Cost: \497000 )

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  • ユーザーの視点に立った高度な学術論文検索支援に関する総合的研究

    2015.4 - 2019.3

    基盤研究(A) 

    冨浦洋一

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    Grant type:Competitive

    Grant amount: \920000

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  • 外国語ブログ等からの訪日観光情報の自動抽出法に関する研究

    2017.4 - 2018.3

    受託研究費(オリックス株式会社) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \2250000 ( Direct Cost: \2035000 、 Indirect Cost: \215000 )

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  • 特許公報からのシソーラス自動構築に関する研究

    2017.4 - 2018.3

    受託研究費(株式会社アイ・アール・ディー) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \500000 ( Direct Cost: \460000 、 Indirect Cost: \40000 )

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  • 自然言語処理技術を用いた当社社内分類及び社内要約の再現に関する研究

    2017.4 - 2018.3

    受託研究費(株式会社ブリヂストン) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \800000

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  • 特許・論文テキストマイニング分析に関する研究

    2016.4 - 2018.3

    受託研究費(パナソニックIPマネジメント株式会社) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \2000000 ( Direct Cost: \1820000 、 Indirect Cost: \180000 )

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  • AI技術によるWebニュースの分類,要約に関する研究

    2016.4 - 2017.3

    受託研究費(パナソニック株式会社) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \2159200 ( Direct Cost: \1954000 、 Indirect Cost: \205200 )

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  • 広島における体験型スポットの自動検出

    2016.4 - 2017.3

    広島市立大学  特定研究費 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \600000

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  • 科研費・JST等の国の研究ファンド情報への科研費分類付与

    2016.1 - 2017.3

    受託研究費(科学技術振興機構) 

    Hidetsugu Nanba

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1759600

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  • 訪日外国人旅行者を対象とした地域情報マイニング技術の研究開発

    2014.7 - 2016.3

    総務省  戦略的情報通信研究開発推進事業(SCOPE) 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \8755000 ( Direct Cost: \6735000 、 Indirect Cost: \2020000 )

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  • 観光オントロジーを用いた観光情報推薦システムの構築

    2014.4 - 2016.3

    広島市立大学 特定研究費 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1366000

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  • 訪日外国人を対象とした地域情報提供システムの開発

    2014.4 - 2016.3

    広島市立大学 社会連携プロジェクト研究費 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1350000

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  • 新情報の追加と書き換え技術を用いたサーベイ論文の自動作成

    2013.4 - 2016.3

    基盤研究(C) 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \4810000 ( Direct Cost: \3700000 、 Indirect Cost: \1110000 )

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  • Webからの地域文化マイニング技術の研究開発

    2014.4 - 2015.3

    東京工業大学精密工学研究所共同研究 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \300000

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  • Webサイト情報変換・分類エンジン

    2013.4 - 2014.3

    受託研究費(エス株式会社) 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1050000

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  • 特許の先行技術調査の支援技術に関する研究

    2012.12 - 2013.6

    産業技術総合研究所 委託研究 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \2909719

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  • Webサイト情報交換・分類エンジン

    2012.6 - 2013.3

    受託研究費(エス株式会社) 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1050000

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  • 学術情報の信頼性に基づいた質問応答システムの開発

    2012.3 - 2013.3

    国立情報学研究所共同研究 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \700000

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  • 外国人生活者からの119番通報受付支援技術の検討とシステム試作

    2010.7 - 2013.3

    広島市立大学 市政貢献プロジェクト研究費 

    竹澤寿幸

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    Grant type:Competitive

    Grant amount: \885000

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  • 広島地域を対象とする音声翻訳システムを用いた観光案内の実証実験

    2010.7 - 2013.3

    広島市立大学 社会連携プロジェクト研究費 

    竹澤寿幸

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    Grant type:Competitive

    Grant amount: \1907000

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  • 旅行対話翻訳のための観光情報自動抽出とその内容説明の検索生成

    2010.7 - 2013.3

    広島市立大学 指定研究費 

    竹澤寿幸

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    Grant type:Competitive

    Grant amount: \1907000

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  • 同義語抽出手法を利用した論文用語の特許用語への自動変換および情報検索への応用

    2010.4 - 2013.3

    若手研究(B) 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \3000000

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  • 特許の先行技術調査の支援技術に関する研究

    2011.10 - 2012.3

    産業技術総合研究所 委託研究 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \4495835

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  • ソーシャルデータの様態分析

    2011.6 - 2012.3

    株式会社Lafla 受託研究 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \312000

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  • メタ解析技術によるテキストマイニング実用化研究・開発

    2011.6 - 2012.3

    日本マイクロシステムズ株式会社 受託研究 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1050000

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  • 特許の先行技術調査の支援技術に関する研究

    2010.12 - 2011.3

    産業技術総合研究所 委託研究 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \4309945

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  • 日常的な対話音声の認識と観光情報の自動収集に関する研究

    2010.9 - 2011.3

    株式会社ATR-Trek 

    竹澤寿幸

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    Grant type:Competitive

    Grant amount: \1050000

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  • 感情情報処理に基づく音声対話技術と観光情報検索に関する研究

    2009.6 - 2010.3

    受託研究費(株式会社ATR-Trek) 

    竹澤寿幸

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    Grant type:Competitive

    Grant amount: \1000000

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  • 産学ニーズシーズ・マッチングシステムの研究

    2008.4 - 2010.3

    広島市立大学 特定研究費 

    加藤直規

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    Grant type:Competitive

    Grant amount: \1317000

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  • テキストの自動評価システムの開発

    2007.4 - 2010.3

    基盤研究(B) 

    奥村学

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    Grant type:Competitive

    Grant amount: \9620000

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  • 連接語に着目した専門用語の体系化および技術動向分析への応用

    2007.4 - 2010.3

    若手研究(B) 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \3830000 ( Direct Cost: \3200000 、 Indirect Cost: \630000 )

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  • 話し言葉音声の認識と翻訳に関する研究

    2008.5 - 2009.3

    株式会社ATR-Trek 

    竹澤寿幸

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    Grant type:Competitive

    Grant amount: \1000000

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  • テキストマイニング要素技術の研究・開発

    2008.4 - 2009.3

    日本マイクロシステムズ株式会社 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1000000

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  • 特許、論文データベースを統合した検索環境および動向分析ツールの構築

    2004.7 - 2007.6

    独立行政法人新エネルギー・産業技術総合開発機構 産業技術研究助成事業 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \27300000

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  • テキスト間の関係を考慮した複数テキスト要約に関する研究

    2005.4 - 2007.3

    基盤研究(B) 

    奥村学

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    Grant type:Competitive

    Grant amount: \7000000

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  • 文書集合の構造化に基づく効率的な情報アクセス技術の開発

    2004.4 - 2007.3

    若手研究(B) 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \3700000

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  • 論文間の参照情報を利用した専門用語シソーラスの自動構築

    2004.4 - 2006.3

    広島市立大学 特定研究費 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \1850000

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  • Web上のテキストデータを対象とした複数テキスト要約に関する研究

    2002.4 - 2003.3

    特定領域研究 

    奥村学

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    Grant type:Competitive

    Grant amount: \6600000

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  • Web上のデータを中心とした複数論文データベースの統合

    2002.7 - 2003.2

    2002年度 IPA未踏ソフトウェア創造事業 

    難波英嗣

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount: \8000000

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Intellectual property rights

  • ガイド情報作成表示装置

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    Application no:特願2013-147928  Date applied:2012.7.20

    Announcement no:特開2014-38605  Date announced:2014.2.27

    Registration no:特許第6231315号  Date registered:2017.10.27 

  • Related Term Acquiring Device, Related Term Acquiring Method, Technology Trend Information Creating Device, Technology Trend Information Creating Method, and Program

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    Application no:PCT/JP2007/054257  Date applied:2007.3.6

    Announcement no:WO2007/105530  Date announced:2007.9.20

    Registration no:特許第5078164号  Date registered:2012.9.7 

  • 専門用語分類装置、専門用語分類方法、及びプログラム

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    Application no:2007-53771  Date applied:2007.3.5

    Announcement no:2008-217398  Date announced:2008.9.18

    Registration no:特許第5252410号  Date registered:2013.4.26 

Allotted class

  • 2023   インターンシップ   Department

  • 2023   テクニカル・プレゼンテーション   Department

  • 2023   データサイエンス実験B   Department

  • 2023   データサイエンス概論   Department

  • 2023   データ構造とアルゴリズム   Department

  • 2023   プログラム言語及演習第1   Department

  • 2023   卒業研究Ⅰ   Department

  • 2023   卒業研究Ⅱ   Department

  • 2023   情報通信産業論   Department

  • 2023   知能システム工学   Department

  • 2023   AI・データサイエンス工学概論   Department

  • 2023   データサイエンス特殊論文研修Ⅰ   Graduate school

  • 2023   データサイエンス特殊論文研修Ⅱ   Graduate school

  • 2023   データサイエンス特殊論文研修Ⅲ   Graduate school

  • 2023   データサイエンス特殊論文研修Ⅳ   Graduate school

  • 2023   データサイエンス特殊論文研修Ⅴ   Graduate school

  • 2023   データサイエンス特殊論文研修Ⅵ   Graduate school

  • 2023   データサイエンス特論   Graduate school

  • 2023   データサイエンス論文研修第一   Graduate school

  • 2023   データサイエンス論文研修第三   Graduate school

  • 2023   データサイエンス論文研修第二   Graduate school

  • 2023   データサイエンス論文研修第四   Graduate school

  • 2023   情報検索   Graduate school

  • 2023   経営システム工学論文研修第二   Graduate school

  • 2023   自然言語処理論   Graduate school

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Committee Memberships

  • 2019 -  

    国立研究開発法人科学技術振興機構   特任研究員  

  • 2019 -  

    一般財団法人日本特許情報機構   産業日本語研究会 文書作成支援分科会 委員