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