arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2003.02498cs.CLcs.IRcs.LG

RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System

Singapore Management University(新加坡管理大学);University of Illinois at Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校)

Helena H. Lee, Ke Shu, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney

英文摘要:

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/.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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