料理杂烩:创造新食谱的工具

Mansi Goel, Pallab Chakraborty, Vijay Ponnaganti, Minnet Khan, Sritanaya Tatipamala, Aakanksha Saini, Ganesh Bagler
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引用次数: 3

摘要

由于网上有大量的烹饪食谱,人们越来越有兴趣利用这些数据来创建新的食谱。新颖食谱生成是自然语言处理领域的一个问题,我们的主要兴趣是生成现实的、新颖的烹饪食谱。为了想出这样新颖的食谱,我们用大量的食谱数据训练了各种深度学习模型,如lstm和GPT-2。我们介绍Ratatouille (https://cosylab.iiitd.edu.in/ratatouille2/),一个基于web的应用程序,用于生成新颖的食谱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ratatouille: A tool for Novel Recipe Generation
Due to availability of a large amount of cooking recipes online, there is a growing interest in using this as data to create novel recipes. Novel Recipe Generation is a problem in the field of Natural Language Processing in which our main interest is to generate realistic, novel cooking recipes. To come up with such novel recipes, we trained various Deep Learning models such as LSTMs and GPT-2 with a large amount of recipe data. We present Ratatouille (https://cosylab.iiitd.edu.in/ratatouille2/), a web based application to generate novel recipes.
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