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Automatic Extraction of Causal Relations from Natural Language Texts: A Comprehensive Survey
[article]
2016
arXiv
pre-print
Automatic extraction of cause-effect relationships from natural language texts is a challenging open problem in Artificial Intelligence. Most of the early attempts at its solution used manually constructed linguistic and syntactic rules on small and domain-specific data sets. However, with the advent of big data, the availability of affordable computing power and the recent popularization of machine learning, the paradigm to tackle this problem has slowly shifted. Machines are now expected to
arXiv:1605.07895v1
fatcat:mpu3bxvuwrhzvl7psaz3xx56ay