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Cooking Up a Neural-based Model for Recipe Classification.

, , , , , , and . LREC, page 5000-5009. European Language Resources Association, (2020)

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Native Language Identification Using a Mixture of Character and Word N-grams., , and . BEA@EMNLP, page 210-216. Association for Computational Linguistics, (2017)Quick and (maybe not so) Easy Detection of Anorexia in Social Media Posts., , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Cooking Up a Neural-based Model for Recipe Classification., , , , , , and . LREC, page 5000-5009. European Language Resources Association, (2020)Classification of Rare Recipes Requires Linguistic Features as Special Ingredients., , , , , , and . Canadian AI, volume 12109 of Lecture Notes in Computer Science, page 426-437. Springer, (2020)Semantic Similarity Matching Using Contextualized Representations., , , and . Canadian AI, Canadian Artificial Intelligence Association, (2021)Du bon usage d'ingrédients linguistiques spéciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes )., , , , , and . JEP-TALN-RECITAL (2), page 81-94. ATALA et AFCP, (2020)On the Creation of a Corpus for Coherence Evaluation of Discursive Units., , and . LREC, page 1067-1072. European Language Resources Association, (2020)Neural Feature Extraction for Contextual Emotion Detection., , and . RANLP, page 785-794. INCOMA Ltd., (2019)CLaC Lab at SemEval-2019 Task 3: Contextual Emotion Detection Using a Combination of Neural Networks and SVM., , and . SemEval@NAACL-HLT, page 153-158. Association for Computational Linguistics, (2019)Learning Style and Task Performance in Synchronous Computer-Mediated Communication: A Case Study of Iranian EFL Learners., and . J. Educ. Technol. Soc., 18 (4): 344-356 (2015)