Deep Learning Based Named Entity Recognition Models for Recipes

arXiv:2402.17447v1 Announce Type: new
Abstract: Food touches our lives through various endeavors, including flavor, nourishment, health, and sustainability. Recipes are cultural capsules transmitted across generations via unstructured text. Automated protocols for recognizing named entities, the building blocks of recipe text, are of immense value for various applications ranging from information extraction to novel recipe generation. Named entity recognition is a technique for extracting information from unstructured or semi-structured data with known labels. Starting with manually-annotated data of 6,611 ingredient phrases, …

abstract applications arxiv automated building cs.ai cs.cl cs.ir deep learning extraction food health information information extraction recipe recipes recognition sustainability text through type unstructured value via