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snips-nlu - Snips Python library to extract meaning from text

  •    Python

Snips NLU (Natural Language Understanding) is a Python library that allows to parse sentences written in natural language and extracts structured information. To find out how to use Snips NLU please refer to our documentation, it will provide you with a step-by-step guide on how to use and setup our library.


  •    Python

Try it here. In this repo one can find code for training and infering intent classification that is presented as shallow-and-wide Convolutional Neural Network[1].

CNN_Intent_Classification - CNN for intent classification task in a Chatbot

  •    Jupyter

This is Keras implementation for the task of sentence classification using CNNs. This work took inspiration from Midterm Assignment given by Siraj Raval. Here's his cool video explaining Natural Language Processing applied to resume screening. Text used for the training falls under the six categories namely, AddToPlaylist, BookRestaurant, GetWeather , RateBook , SearchCreativeWork, SearchScreeningEvent each having nearly 2000 sentences.