Deep Learning for Chatbots, Part 2 – Implementing a Retrieval-Based Model in Tensorflow

The Code and data for this tutorial is on Github.

Retrieval-Based bots

In this post we’ll implement a retrieval-based bot. Retrieval-based models have a repository of pre-defined responses they can use, which is unlike generative models that can generate responses they’ve never seen before. A bit more formally, the input to a retrieval-based model is a context c (the conversation up to this point) and a potential response r. The model outputs is a score for the response. To find a good response you would calculate the score for multiple responses and choose the one with the highest score.

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