[1C2-OS-8a-03]An Experiment of Causal Knowledge Extraction from Reuter News
〇Hiroki Sakaji1, Jason Bennett2, Yusuke Miyao3, Kiyoshi Izumi1(1. The University of Tokyo, 2. Sumitomo Mitsui Asset Management Company, Limited, 3. National Institute of Informatics)
Keywords:
Text Mining,Causal Knowledge,AI
In this paper, we try to develop a method for extracting causal expressions from news articles.
First, we investigated clue expressions that are included in news articles.
Next, we focused on specific clue expressions and developed the method to extract causal expressions.
First, we investigated clue expressions that are included in news articles.
Next, we focused on specific clue expressions and developed the method to extract causal expressions.

