README.md

Chatbots

🔖 Outline

To be added

🗒️ Notebooks

Set of notebooks associated with the chapter.

1. Intent Detection using CNN, RNN: Here we demonstrate various CNN and RNN models for the task on Intent Detection on the ATIS dataset.

2. Intent Detection using BERT: Here we demonstrate how to use pytorch pre-trained BERT to classify the intent in the ATIS dataset.

3. Intent Detection using BERT(Binary): Here we reduce the intent classification task on the ATIS dataset into a binary classification task and then use pytorch pre-trained BERT to classify the intents.

4. Slot Filling using CRFs: Here we demonstrate using CRFs to perform the task of Slot filling on the SNIPS dataset.

5. Slot Filling using BERT: Here we demonstrate using pytorch pre-trained BERT for the task of slot filling on the SNIPS dataset using the HuggingFace Transformers library.

6. Simple Chatbot using Chatfuel: Here we demonstrate how to build a simple chatbot which does not have "intelligence" to order pizzas using chatfuel.

🖼️ Figures

Color figures as requested by the readers.