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Updated
Aug 21, 2020 - Python
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Natural Language Processing Best Practices & Examples
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Snips Python library to extract meaning from text
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Deprecated in favor of https://github.com/facebook/duckling
DELTA is a deep learning based natural language and speech processing platform.
中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
The Open Source AI Chatbot Platform Builder in 100% C# Running in .NET Core with Machine Learning algorithm.
Rasa UI is a frontend for the Rasa Framework
User Simulation for Task-Completion Dialogues
基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
Document-oriented search engine with HTTP API.
Our existing test suite has been written with the Python unittest framework. However, as the test suite has grown and opsdroid has become more complex we are running into issues with the tests. Mainly around setting up and tearing down tests.
The @opsdroid/maintainers team have decided that we want to migrate all tests to be written with the
基于自然语言理解与机器学习的聊天机器人,支持多用户并发及自定义多轮对话
JavaScript Web SDK for Dialogflow
An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.
Recent Deep Learning papers in NLU and RL
all kinds of baseline models for sentence similarity 句子对语义相似度模型
Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
Wren enables users to discover and explore daily news stories
A collection of resources to make a smart speaker
turn natural language into structured data(支持中文,自定义了N种模型,支持不同的场景和任务)
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
Add a description, image, and links to the nlu topic page so that developers can more easily learn about it.
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Well, Gumbel Distribution is magical. Basically, given a sequence of K logits, i.e., "\log a_1, \log a_2, ..., \log a_K" and K independent gumbel random variables, i.e., "g_1, g_2, ..., g_K". We have
This gives you a very simple way to sampl