Support for Internet-Based Commonsense Processing - Causal Knowledge Discovery Using Japanese "If" Forms

Abstract. This paper introduces our method for causal knowledge retrieval from the Internet resources, its results and evaluation of using it in utterance creation process. Our system automatically retrieves commonsensical knowledge from the Web resources by using simple web-mining and information extraction techniques. For retrieving causal knowledge the system uses three of specific several Japanese “if” forms. From the results we can conclude that Japanese web pages indexed by a common search engine spiders are enough to discover common causal relationships and this knowledge can be used for making Human-Computer Interfaces sound more natural and interesting than while using classic methods.

• Type: Conference
• Year: 2005
• Where: KES
• Authors: Yali Ge, Rafal Rzepka, Kenji Araki
• Keywords: Causal Knowledge, Causal Knowledge Retrieval, Common Causal Relationships, KES 2005