Hierarchical Recursive Tagset for Annotating Cooking Recipes
نویسندگان
چکیده
Several natural language annotation schemas have been proposed for different natural language understanding tasks. In this paper we present a hierarchical and recursive tagset for annotating natural language recipes. Our recipe annotation tagset is developed to capture both syntactic and semantic information in the text. First, we propose our hierarchical recursive tagset that captures cooking attributes and relationships among them. Furthermore, we develop different heuristics to automatically annotate natural language recipes using our proposed tagset. These heuristics use surface-level and syntactic information from the text and the association between words. We are able to annotate the recipe text with 91% accuracy in an ideal situation.
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