论文标题

ratatouille:新颖食谱生成的工具

Ratatouille: A tool for Novel Recipe Generation

论文作者

Goel, Mansi, Chakraborty, Pallab, Ponnaganti, Vijay, Khan, Minnet, Tatipamala, Sritanaya, Saini, Aakanksha, Bagler, Ganesh

论文摘要

由于在线上有大量烹饪食谱,因此对使用此数据作为数据创建新颖食谱的兴趣越来越大。新颖的食谱生成是自然语言处理领域的一个问题,我们的主要兴趣是产生现实的新型烹饪食谱。为了提出这种新颖的食谱,我们培训了大量食谱数据培训了各种深度学习模型,例如LSTMS和GPT-2。我们提出了ratatouille(https://cosylab.iiitd.edu.in/ratatouille2/),这是一种基于Web的应用程序,用于生成新颖的食谱。

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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