Researcher Database

（Last updated : 2025-03-24 09:05:26）　

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Fukumoto Junichi

Department / Course College of Information Science and Engineering Department of Information Science and Engineering

Title / Position Professor

Other Affiliations
1.	Graduate School of Information Science and Engineering

Academic background
1.	～1994	Doctorial Course │ Language and Linguistics │ University of Manchester Institute of Science and Technology
2.	～1986/03	Doctoral Program (1st Semester) │ System Engineering Major │ Graduate School, Division of Engineering │ Hiroshima University │ Completed
3.	1999 Degree Acquisition	│ University of Manchester
4.	～1986	Systems Engineering │ Faculty of Engineering │ Hiroshima University │ Graduated

Research activities
1.		Society for Tourism Informatics
2.		The Association for Natural Language Processing
3.		Information Processing Society of Japan
4.		The Japanese Society for Artificial Intelligence
5.		The Institute of Electronics, Information and Communication Engineers (IEICE)

Subject of research
1.	Information Extraction and Text Summarization
2.	Question Answering

Research summary
Study of natural language processing Out of studies of mathematically processing languages spoken by a person, I conduct studies of extracting important parts from large amount of language information or summarization process.

Present specialized field
Intelligent Informatics (Keyword：Natural Language Processing)

Papers
1.	2017/06	Speech-balloon Shapes Estimation for Emotional Text Communication │ Information Engineering Express │ 10 (2),pp.pp.1-10
2.	2015/06	Detecting Attractive Phrases from Musical Lyrics Focusing on Typical Expressions on Lyrics │ International Journal of Affective Engineering │ 14 (3),pp.pp.167-174
3.	2015/06	Feasibility Evaluation of Function obtained by Product Combination │ Information Engineering Express International Institute of Applied Informatics │ 1 (2),pp.pp.31-40
4.	2014/03	Detection of Affectively Comparable Term Using Hierarchical Knowledge and Blog Snippets │ Journal of Advanced Computational Intelligence and Intelligent Informatics │ 18 (2),pp.(166-174)
5.	2013/12	Interactive Document Expansion for Answer Extraction of Question Answering System │ Procedia Computer Science │ vol. 22,pp.pp. 991-1000
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Academic conference presentation
1.	2017/09	Analysis of Dialogues Difficulty in Anime Comparing with JLPT Listening Tests
2.	2017/09	The Difference of Word Importance before and after Bookmark for Novel Abstract in Each Reading Progress
3.	2017/07	A Generation Method of Back-channel Response to Let a Chatting bot Be a Member of Discussions in a Text-based Chat
4.	2016/10	Analysis of Japanese Animation Dialogue Level using Japanese Expressions
5.	2016/10	Estimation of Speech-balloon Shapes Based on Linguistic Features
Display All（50）

Research exchange preferred theme
1.	Answering a given question written in natural language from a huge text base such as newpaper articles or web documents. Question Answering (QA) system is used to extract answers to a given question such as “What is …?” from a large number of documents on the Internet or newspaper articles. We are now improving our QA system to manage user interaction for ambiguous questions, and also to unify multiple similar answers into a single answer expression for a given question. Technical consultation Commisioned research Joint research