论文标题
COPECHPPT：基于生成培训的烹饪食谱生成和评估系统
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System
论文作者
论文摘要
由于大量的在线烹饪食谱，在过去几年中，自动生成烹饪食谱的兴趣一直在稳步增长。我们介绍了一种新颖的在线食谱生成和评估系统。该系统提供了两种文本世代的模式：（1）从给定的配方标题和成分中生成指令； （2）食谱标题和烹饪说明的成分生成。它的后端文本生成模块包括在大型烹饪食谱数据集中微调的生成预训练的语言型号GPT-2。此外，配方评估模块允许用户方便地检查生成的食谱内容的质量并存储结果以备将来参考。可以在https://recipegpt.org/上在线访问COPECEGPT。
Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes. We present RecipeGPT, a novel online recipe generation and evaluation system. The system provides two modes of text generations: (1) instruction generation from given recipe title and ingredients; and (2) ingredient generation from recipe title and cooking instructions. Its back-end text generation module comprises a generative pre-trained language model GPT-2 fine-tuned on a large cooking recipe dataset. Moreover, the recipe evaluation module allows the users to conveniently inspect the quality of the generated recipe contents and store the results for future reference. RecipeGPT can be accessed online at https://recipegpt.org/.
