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.
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
MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)
Labelling Sequential Data in Natural Language Processing with R - using CRFsuite
Natural language understanding library for chatbots with intent recognition and entity extraction.
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...
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