There are 1 repository under nlu-engine topic.
Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU
Spokestack: give your React Native app a voice interface!
Natural language understanding library for chatbots with intent recognition and entity extraction.
Python Client for the expert.ai Natural Language API
An open source natural language understanding (NLU) server
A flexible and pragmatic chatbot intent classifier for chatbots
One of the main NLU tasks is to understand the intents (sequence classification) and slots (entities within the sequence). This repo help classify both together using Joint Model (multitask model). BERT_SMALL is used which can be changed to any other BERT variant.
This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme.
Java Client for the expert.ai Natural Language API
A microservice with caching support for parsing text and training models with Rasa NLU
Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.
Customized user friendly AI bot
A repository which contains dataset and a pre-trained Snips model for the Automotive Grade Linux's NLU intent engine.
Find outlier/anomaly for multi-class intents using Snips NLU
NAN.ai Natural Language Understanding (NLU) is an open source machine learning service built for nan.ai support chatbot.
Quick and dirty solution to convert CSV training data into Snips JSON format and train an engine
Natural language processing for Tamazight language
Snips NLU docker base image
This repository contains the code and resources for building a language understanding and question answering system using the Jeopardy! dataset. The project aims to train a language understanding model to extract meaning from open-ended questions and leverage that understanding to answer the questions using a dedicated QA system.
A multilingual NLU engine for chatbot. Which supports Bangla, Banglish and English.
AIML (Artificial Intelligence Markup Language) is an XML dialect for creating natural language software agents. It contains the basic rules which Natural Language Understanding (NLU) unit uses internally. It can be think of as a heart of the engine. The more rules we add in AIML – the more intelligent our Chatbot will be.
Script to check for duplicates/special characters within entity lists