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"

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

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

A neural network intent parser

Intent recognition with OpenNLP

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

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

CNN for intent classification task in a Chatbot

🤖️ 聊天机器人——夫子的「自然语言理解」模块

Open source library for few shot NLP

Labelling Sequential Data in Natural Language Processing with R - using CRFsuite

Low latency, High Accuracy, Custom Query routers for Humans and Agents. Built by Prithivi Da

Natural language understanding library for chatbots with intent recognition and entity extraction.

SMP2018中文人机对话技术评测（ECDT）

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...

Dataset Release for Intent Classification from Speech