A Framework for Procedural Text Understanding

Hirokuni Maeta, Tetsuro Sasada, Shinsuke Mori
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
more » ... like named entity recognition, and finally connect them like a sentence parser but dealing all the concepts in the text at once. We tested our framework on cooking recipe texts annotated with a directed acyclic graph as their meaning. We present experimental results and evaluate our framework.
doi:10.18653/v1/w15-2206 dblp:conf/iwpt/MaetaSM15 fatcat:f6i6ql5wrrbzde7jfeukz4n4s4