Journal of the Japanese Society for Artificial Intelligence Vol. 27 No. 3 (May 2012)

CONTENTS

Commentary
Invitation to the 26th Annual Conference of The Japanese Society for Artificial Intelligence in Yamaguchi
……………………………………………………………………………………………… Akinori Abe 229
Special Issue:“Discrete Structure Manipulation Systems―The Art of Algorithms for Intelligent Information
       Processing”
Editor’s Introduction to“Discrete Structure Manipulation Systems
 ―The Art of Algorithms for Intelligent Information Processing” …………………………… Takashi Washio 231
Techniques of BDDs/ZDDs and Discrete Structure Manipulation Systems ………………… Shin-ichi Minato 232
Similarity Search for Large-Scale Data …………………………………………… Koji Tsuda and Yasuo Tabei 239
High-Speed Clique / Dense Subgraph Mining Algorithms ……………………………………… Takeaki Uno 246
Recent Development of Intelligent Information Processing with Submodularity
…………………………………………… Yoshinobu Kawahara, Kiyohito Nagano and Takashi Washio 252
A Development of Datamining Tools for Discrete Data and It’s Applications
…………………………………………Yukinobu Hamuro, Masakazu Nakamoto and Hiyroyuki Morita 261
Special Issue:“Post-Empirical Natural Language Processing”
Editor’s Introduction to“Post-Empirical Natural Language Processing” …………………… Hirotoshi Taira 271
Rationalism and Empiricism
 ―Computation Model of Mental Processes― ……………………………………………… Jun-ichi Tsujii 273
Statistical Natural Language Processing and Statistics in the Future ……………………… Daichi Mochihashi 284
Field of Statistical Machine Translation ………………………………………………………… Taro Watanabe 288
Deep Syntactic Parsing by Grammar-Based Structurization and Statistical Disambiguation … Yusuke Miyao 296
Substructural Logic for Rationalistic Linguistics ……………………………………………… Daisuke Bekki 304
The Progress of NLP Researches Based on Lexical Funcitional Grammar
………………………………………………………………… Tomoko Ohkuma and Hiroshi Masuichi 310
Specialisation of Semantic and Discourse Processing Tasks and Its Problems …………………………Ryu Iida 318
Is it Possible to Reconcile the Conflict between Linguistics and NLP?
 ―Where Is the True Limit of Statistically Based NLP?
  Can We Overcome It with Knowledge-Based NLP?―
……………………………………………………………………………………………… Kow Kuroda 326
Special Issue:“Data Mining and Simulation”
Special Issue on Data Mining and Simulation … Special issue editorial board of Data Mining and Simulation 333
My Bookmark
Latent Topic Model …………………………………………………………………………………… Issei Sato 334

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Tue, May 1 2012 » 学会誌