Introducing Metric Space In Concept Dictionary for Flexible Semantic Analysis

• Ishizaki Shun

  Faculty of Environmantal Information Keio University

• Tanaka Shigenori

  Faculty of Environmantal Information Keio University

• Imai Mutsumi

  Faculty of Environmantal Information Keio University

Bibliographic Information

Other Title

• 柔軟な意味解析のための概念空間の定量化

Abstract

In spontaneous conversation, we have many ungrammatical but semantically natural sentences. Analysis based on semantics or context seems appropriate for such conversational texts. The traditional methods for semantic analysis or structures of concept dictionaries are not enough to treat with such texts. This paper discusses, therefore, a computational model which has a flexible mechanism for semantic analysis and discusses functions and a structure which concept dictionaries should have. For example, using cognitive psychological experiments, MDS method, a metric space among concepts can be organized. Then, SD method using concepts of state as parameters introduces a metric space where dynamic semantic analysis can be formalized. This paper discusses possibilities of these new approaches.

Journal

• IPSJ SIG Notes

  IPSJ SIG Notes 100 (3), 9-16, 1944

  Information Processing Society of Japan (IPSJ)

Details

• CRID: 1571135652200573440
• NII Article ID: 110002934822
• NII Book ID: AN10115061
• Text Lang: ja
• Data Source:
  • CiNii Articles