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Food Waste Ontology: A Formal Description of Knowledge from the Domain of Food Waste.

, , , , , , and . IEEE BigData, page 5190-5194. IEEE, (2019)

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FoodBase corpus: a new resource of annotated food entities., , and . Database J. Biol. Databases Curation, (2019)Grammar and Dictionary based Named-entity Linking for Knowledge Extraction of Evidence-based Dietary Recommendations., , and . KDIR, page 150-157. SciTePress, (2016)FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction., , , and . ICPRAM, page 915-922. SciTePress, (2019)Deep statistical comparison of meta-heuristic stochastic optimization algorithms., , and . GECCO (Companion), page 15-16. ACM, (2018)A Survey of Named-Entity Recognition Methods for Food Information Extraction., , and . IEEE Access, (2020)Quisper Ontology Learning from Personalized Dietary Web Services., , , , and . KEOD, page 277-284. SciTePress, (2018)ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification., , , and . BIOSTEC (Selected Papers), volume 1211 of Communications in Computer and Information Science, page 352-377. Springer, (2019)An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-Related Studies (short paper)., , , , , and . ICBO/ODLS, volume 2807 of CEUR Workshop Proceedings, page 1-2. CEUR-WS.org, (2020)SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN., , and . BioNLP@NAACL-HLT, page 30-40. Association for Computational Linguistics, (2021)POS Tagging-probability Weighted Method for Matching the Internet Recipe Ingredients with Food Composition Data., and . KDIR, page 330-336. SciTePress, (2015)