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Two-step validation in character-based ingredient normalization., and . CEA@IJCAI, page 29-32. ACM, (2018)Non-ingredient Detection in User-generated Recipes using the Sequence Tagging Approach., , , and . W-NUT@EMNLP, page 76-80. Association for Computational Linguistics, (2020)Relevance Feedback using Surface and Latent Information in Texts., and . Inf. Media Technol., 9 (4): 814-833 (2014)SYNGRAPH: A Flexible Matching Method based on Synonymous Expression Extraction from an Ordinary Dictionary and a Web Corpus., , , , and . IJCNLP, page 787-792. The Association for Computer Linguistics, (2008)Named Entity Recognition by Character-Based Word Classification Using a Domain Specific Dictionary., , and . CICLing (2), volume 13452 of Lecture Notes in Computer Science, page 38-48. Springer, (2019)Visual Grounding Annotation of Recipe Flow Graph., , , , , , , and . LREC, page 4275-4284. European Language Resources Association, (2020)Step or Not: Discriminator for The Real Instructions in User-generated Recipes., , and . NUT@EMNLP, page 214. Association for Computational Linguistics, (2018)Japanese-English Machine Translation of Recipe Texts., , and . WAT@COLING, page 58-67. The COLING 2016 Organizing Committee, (2016)Relevance Feedback using Latent Information., and . IJCNLP, page 1037-1045. The Association for Computer Linguistics, (2011)Japanese Word―Color Associations with and without Contexts.. LREC, European Language Resources Association (ELRA), (2016)