intent-classification

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

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

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

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

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

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

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...