Natural Language Story Understanding
Automatic understanding of natural language stories by computer programs remains one of the hardest problems that computer scientists are still trying to solve. Early attempts in the 70s were based on natural language processing where little success has been made. In the 80s, and 90s, a shift in research direction to word sense disambiguation and information extraction has been made with a much success that revived the interest in tackling the story understanding problem once again. Currently, computer scientists are using amalgamated techniques originated from different disciplines such as machine learning, text mining, beside the abovementioned techniques to deeply understand simple stories written in natural languages.