ABOUT THIS EPISODE
Paper is by Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, and Percy Liang
In this episode, Kelvin tells us how to build a language model that starts from a prototype sentence instead of starting from scratch, enabling much more grammatical and diverse language modeling results. In the process, Kelvin gives us a really good intuitive explanation for how variational autoencoders work, we talk about some of the details of the model they used, and some of the implications of the work - can you use this for better summarization, or machine translation, or dialogue responses?
https://www.semanticscholar.org/paper/Generating-Sentences-by-Editing-Prototypes-Guu-Hashimoto/d94d2a9c615b5359ec7d63b1379f9896c48a713f
In this episode, Kelvin tells us how to build a language model that starts from a prototype sentence instead of starting from scratch, enabling much more grammatical and diverse language modeling results. In the process, Kelvin gives us a really good intuitive explanation for how variational autoencoders work, we talk about some of the details of the model they used, and some of the implications of the work - can you use this for better summarization, or machine translation, or dialogue responses?
https://www.semanticscholar.org/paper/Generating-Sentences-by-Editing-Prototypes-Guu-Hashimoto/d94d2a9c615b5359ec7d63b1379f9896c48a713f
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