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A Framework for Procedural Text Understanding
2015
Proceedings of the 14th International Conference on Parsing Technologies
In this paper we propose a framework for procedural text understanding. Procedural texts are relatively clear without modality nor dependence on viewpoints, etc. and have many potential applications in artificial intelligence. Thus they are suitable as the first target of natural language understanding. As our framework we extend parsing technologies to connect important concepts in a text. Our framework first tokenizes the input text, a sequence of sentences, then recognizes important concepts
doi:10.18653/v1/w15-2206
dblp:conf/iwpt/MaetaSM15
fatcat:f6i6ql5wrrbzde7jfeukz4n4s4