8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

A Vector-Based Method for Efficiently Representing Multivariate Environmental Information

Akemi Iida, Yoshito Ueno, Ryohei Matsuura, Kiyoaki Aikawa

Tokyo University of Technology, Japan

This paper outlines our approach for describing multivariate environmental information such as weather as it might be characterized by humans using connotations and delicate nuances. The key feature of our approach is the use of a vector-based method. First, phrases implicitly expressing environmental information are collected. Next the environmental conditions of that time are entered from the GUI. The collected phrases and the newly entered information are represented as vectors of keywords representing such information. By computing the similarity between the given condition and each candidate phrase, the phrase that best represents the given condition is chosen. Two experimental systems that work in Japanese have been developed. The first system selects the appropriate phrase to represent the weather implicitly with a minimum number of phrases and not by lining up measured values. The other system selects poetic phrases that most appropriately represent the environmental conditions, including weather information and emotional states. The result of our evaluation has shown that both systems successfully selected the suitable phrases for representing given environmental conditions.

Full Paper

Bibliographic reference.  Iida, Akemi / Ueno, Yoshito / Matsuura, Ryohei / Aikawa, Kiyoaki (2004): "A vector-based method for efficiently representing multivariate environmental information", In INTERSPEECH-2004, 269-272.