An open source library for deep learning end-to-end dialog systems and chatbots.

Snips Python library to extract meaning from text

building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)

Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text

Implementing a voice enabled chatbot which converses with a user via their voice in natural language. Website: https://scalability4all.github.io/

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

Intent recognition with OpenNLP

A neural network intent parser

Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

🤖️ 聊天机器人——夫子的「自然语言理解」模块

CNN for intent classification task in a Chatbot

The Ovation Framework for Conversational Intelligence

SMP2018中文人机对话技术评测（ECDT）

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

reference pytorch code for intent classification

DIET Classifier mini implementation on pytorch.

Natural Language Processing