Akiko AIZAWA

Last updated: 12/04/22 14:24
 
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Name
Akiko AIZAWA
E-mail
aizawanii.ac.jp
Affiliation
National Institute of Informatics
Section
Digital Content and Media Sciences Research Division
Job title
Professor
Degree
Dr. Eng.
Other affiliation
Graduate School of Information Science and TechnologyThe University of TokyoThe Department of InformaticsThe Graduate University for Advanced Studies

Profile

National Institute of Informatics. Research group on text media and content.
Back in the university, belonged to Electrical Engineering department and engaged in a research on formal specification and verification techniques for communication software. After the graduation of the PhD course, spent two years at University of Illinois at Urbana-Champaign as a visiting researcher, started working in knowledge engineering research field. Following several years, engaged in researches in soft optimization methods including genetic algorithms (GA). Inspired by the similarity between genes in GA and words in natural languages, current research goal is to pursue both the statistical and semantic nature of information transferred over text-based media. Now is working on such topics as information retrieval, natural language processing, web information analysis.

Research Areas

 
 

Career

 
Apr 2000
 - 
Today
National Institute of Informatics (NII)
 
Apr 1990
 - 
Mar 2000
National Institute of Science Information Systems (NACSIS)
 

Papers

 
Akiko Aizawa
IPSJ Journal   52(10) 2953-2964   Oct 2011   [Refereed]
In this paper, we first present an overview of recent studies on compression and encoding-based similarity measures for textual documents. Next, we propose a new method that combines Ziv-Merhav crossparsing and a naive Bayes classifier. Then, we investigate the performance using different types of text classification problems. The experimental results show that the proposed method considerably ...
Cross-lingual Recommender System for Research Papers
Kiyoko Uchiyama; Akiko Aizawa; Hidetsugu Nanba; Takeshi Sagara
IUI2011 Workshop on Context-awareness in Retrieval and Recommendation (CaRR2011)      Feb 2011   [Refereed]
Mining coreference relations between formulas and texts usingWikipedia
Minh Nghiem Quoc, Keisuke Yokoi, Akiko Aizawa
he Second International Workshop on NLP Challenges in the Information Explosion Era (NLPIX 2010)      Aug 2010   [Refereed]
Co-occurrence-based indicators for investigating authors' styles
SUZUKI Takafumi, KAWAMURA Shuntaro, YOSHIKANE Fuyuki, KAGEURA Kyo, AIZAWA Akiko
Bolasco, S., Chiari, I. and Giuliano, L. (ed.) Statistical Analysis of Textual Data, Proceedings of 10th International Conference Journées d’Analyse statistique des Données Textuelles   363-373   Jun 2010   [Refereed]
Exploratory analysis of stylistic characteristics in Japanese Q&A communities
SUZUKI Takafumi, KAWAMURA Shuntaro, AIZAWA Akiko
Bolasco, S., Chiari, I. and Giuliano, L. (ed.) Statistical Analysis of Textual Data, Proceedings of 10th International Conference Journées d’Analyse statistique des Données Textuelles   355-362   Jun 2010   [Refereed]
Enhancing mathematical search with names of formulas
Minh Nghiem, Keisuke Yokoi, Akiko Aizawa
The Workshop on E-Inclusion in Mathematics and Science 2009 (WEIMS'09)   22-25   Dec 2009   [Refereed]
Keisuke Yokoi and Akiko Aizawa
2nd workshop Towards a Digital Mathematics Library (DML 2009)   27-35   Jul 2009   [Refereed]
Akiko Aizawa, Atsuhiro Takasu, Daiji Fukagawa, Masao Takaku, Jun Adachi
Progress in Informatics   6 41-47   Mar 2009   [Refereed]
Multi-class named entity recognition via bootstrapping with dependency tree-based patterns
Van B. Dang and Akiko Aizawa
Proceedings of the 12nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008)      May 2008   [Refereed]
A Fast Linkage Detection Scheme for Multi-Source Information Integration
Akiko Aizawa and Keizo Oyama
Proceedings of the International Workshop on Challenges in Web Information Retrieval and Integration (WIRI2005)   31-40   Apr 2005   [Refereed]
Analysis of Source Identified Text Corpora: Exploring the Statistics of the Reused Text and Authorship
Akiko Aizawa
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL-03)   383-390   Jul 2003   [Refereed]
An Information-Theoretic Perspective of Tf-idf Measuress
Akiko Aizawa
Information Processing & Management   39(1) 45-65   Jan 2003   [Refereed]
A Method of Cluster-Based Indexing of Textual Data
Akiko Aizawa
Proceedings of the 19th International Conference on Computational Linguistics (COLING 2002)   1-7   Aug 2002   [Refereed]
An Approach to Microscopic Clustering of Terms and Documents
Akiko Aizawa
PRICAI 2002: Trends in Artifitial Intelligence, Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence, Mitsuru Ishizuka, Abdul Satter (Eds), LNAI2417   404-413   Jul 2002   [Refereed]
A Co-evoultionary Framework for Clustering in Information Retrieval Systems
Akiko Aizawa
Proceedings of the IEEE 2002 Congress on Evolutionary Computation (CEC2002)   1787-1792   May 2002   [Refereed]
The Feature Quantity: An Information Theoretic Perspective of Tfidf-like Measures
Akiko Aizawa
Proceedings of the 23th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2000)   104-111   Jan 2000   [Refereed]
Scheduling of Genetic Algorithms in a Noisy Environment
Akiko N.Aizawa and Benjamin W.Wah
Evolutionary Computation   2(2) 97-122   Jan 1994   [Refereed]

Bibliography

 
Advances in Evolutionary Computing
Ashish Ghosh and Shigeyoshi Tsutsui Eds.
Springer   Feb 2003   
Akiko Aizawa: "Designed Sampling with Crossover Operators", 413--439 (Chapter 16)
Recent Advances in Computational Terminology
edited by Bouligault, D., Jacquemin, C. and l'Homme, M-C.
John Benjamins   May 2001   
Aizawa, Akiko and Kageura, Kyo: An Approach to the Automatic Generation of Multilingual Keyword Clusters. p.1-27.
Foundations of Genetic Algorithms・4
edited by Belew,R.K. and Vose,M.D.
Morgan Kaufman, 463p.   Sep 1997   ISBN:1-55860-460-x
Akiko Aizawa, "Fitness Landscape Characterization by Variance of Decompositions," p.225-245

Teaching Experiences