An open source library for deep learning end-to-end dialog systems and chatbots.
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Updated
Nov 14, 2024 - Python
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
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
Natural language understanding library for chatbots with intent recognition and entity extraction.
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
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
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