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  1. Proceedings of the 9th Workshop on Multimedia for Cooking and Eating Activities in conjunction with The 2017 International Joint Conference on Artificial Intelligence (CEA2017)
  2. A Comparison of Cooking Recipe Named Entities between Japanese and English
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Estimation of the Attractiveness of Food Photography Focusing on Main Ingredients
Concurrence of Word Concepts in Cooking Recipe Search
Approaches to Food/Non-food Image Classification Using Deep Learning in Cookpad
A Comparison of Cooking Recipe Named Entities between Japanese and English
Discovering New Creative Mixtures of Cooking Ingredients
Learning Food Appearance by a Supervision with Recipe Text
Multilingualization of Restaurant Menu by Analogical Description
Prediction of Individual Eating Habits Using Short-Term Food Recording
Calculating Cooking Recipe's Difficulty based on Cooking Activities
Method for Detecting Near-duplicate Recipe Creators Based on Cooking Instructions and Food Images

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A Comparison of Cooking Recipe Named Entities between Japanese and English

Content Provider ACM Digital Library
Author Mori, Shinsuke Yamakata, Yoko Carroll, John
Abstract In this paper, we analyze the structural differences between the instructional text in Japanese and English cooking recipes. First, we constructed an English recipe corpus of 100 recipes, designed to be comparable to an existing Japanese recipe corpus. We annotated recipe named entities (r-NEs) in the English corpus according to guidelines previously defined for Japanese. We trained a state-of-art NE recognizer, PWNER, on the English r-NEs, and achieved very similar accuracy and coverage to previous results for the Japanese corpus, thus demonstrating the quality and consistency of the annotations. Second, we compared the r-NEs annotated in the Japanese and English corpora, and uncovered lexical, semantic, and underlying structural differences between Japanese and English recipes. We discuss reasons for these differences, which have significant implications for cross-language retrieval and automatic translation of recipes.
Starting Page 7
Ending Page 12
Page Count 6
File Format PDF
ISBN 9781450352673
DOI 10.1145/3106668.3106672
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2017-08-20
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Ner Cooking recipe named entity Japanese and english comparison
Content Type Text
Resource Type Article
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