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"

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

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

Repository that accompanies "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction" (EMNLP 2019)

基于pytorch的中文意图识别和槽位填充

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

Small Language Model Inference, Fine-Tuning and Observability.

🤖️ 聊天机器人——夫子的「自然语言理解」模块

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 more...

No description available

Open source library for few shot NLP

Deep Open Intent Classification with Adaptive Decision Boundary (AAAI 2021)

An intent classifier which can classifies a query into one of the 21 given intents.

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

Provide Guide to Autonomous Vehicle for Pedestrian Crossing Detection

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

LLM using long-term memory through vector database

A project that enables identification and classification of an intent of a message with dynamic labels

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...

Compact multi-head text classifier for short, domain-neutral routing decisions.