Proceedings:
Mining Answers from Texts and Knowledge Bases
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Papers from the 2002 AAAI Spring Symposium
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Abstract:
Causal relations of various kinds are a pervasive feature of human language and theorising about the world. Despite this, the specification of a satisfactory general analysis of causal relations has long proved difficult. This paper provides a syntactic and semantic classification of cause-effect lexico-syntactic patterns for automatic detection and extraction of causation relationships in English texts. We also present a semiautomatic method of discovering generally applicable lexico-syntactic patterns that refer to the causation relation. The patterns are found automatically, but their validation is done semi-automatically. Our final purpose is to add a new module to our existing Question Answering (QA) system that will answer complex cause-effect questions.
Spring
Papers from the 2002 AAAI Spring Symposium