We show that there is still room for improvement in the analyses of recipes. ![]() This paper also reports benchmark results on our corpus for Japanese morphological analysis, named entity recognition, and dependency parsing. We randomly extracted 500 recipes from the largest recipe-related dataset, the Cookpad Recipe Dataset, and annotated 4 738 sentences in the recipes with morphemes, named entities, and dependency relations. ![]() This paper introduces a novel recipe-related dataset, named Cookpad Parsed Corpus, which contains linguistic annotations for Japanese recipes. However, there are still few datasets that provide linguistic annotations for the recipe-related studies even though such annotations should form the basis of the studies. Along with the increase in the number of shared recipes, there have been corresponding increases in recipe-related studies and datasets. Abstract It has become increasingly common for people to share cooking recipes on the Internet.
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