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

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

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

🤖️ 聊天机器人——夫子的「自然语言理解」模块

Open source library for few shot NLP

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

MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)

LLM using long-term memory through vector database

DIET Classifier mini implementation on pytorch.

Dataset Release for Intent Classification from Speech

reference pytorch code for intent classification

Implementation of Z-BERT-A: a zero-shot pipeline for unknown intent detection.

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