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Language Understanding (LUIS) A machine learning-based service to build natural language into apps, bots, and IoT devices. Quickly create enterprise-ready, custom models that continuously improve.
Welcome back to LOUIS THE GAME! Join Vivienne on her adventures as she journeys to eight vibrant locations across the globe in search of 200 collectible candles to celebrate our founder Louis...
Conversational language understanding is the next generation of Language Understanding (LUIS). It comes with state-of-the-art language models that understand the utterance's meaning and capture word variations, synonyms, and misspellings while being multilingual.
Apr 16, 2021 · LUIS, or language understanding intelligent service, is a cloud-based service that applies custom machine learning to a user's conversational, natural language text to predict overall meaning, and pull out relevant detailed information. As usual, it's exposed over simple REST APIs.
Mar 19, 2024 · If you like talking big cats like lions or animal games like lion games or talking animal in general you will love Talking Luis Lion! Enjoy hours of fun and laughter with this talking and...
Jul 16, 2017 · Jul 16, 2017. LUIS stands for Language Understanding Intelligent Service. It is one of the many Cognitive Services provided by Microsoft under Azure Cognitive Services. Using this service...
Feb 22, 2018 · Once your LUIS application has endpoint queries, LUIS enables you to improve individual intents and entities that are not performing well on real traffic through active learning. In the active learning process, LUIS examines all the endpoint utterances, and selects utterances that it is unsure of.
Apr 27, 2021 · Language Understanding Intelligence Service ( LUIS) – an API within Microsoft Cognitive Services, helps in enabling an application to understand what a user is wanting to say. This is achieved by LUIS by leveraging Natural Language Understanding (NLU) for transforming the words in a sentence into a machine-readable meaning representation.
Language Studio provides you with an easy-to-use experience to build and create custom ML models for text processing using your own data such as classification, entity extraction, conversational and question answering models. It also provides you with a platform to tryout several prebuilt NLP features and see what they return in a visual manner. Some of these features include keyphrase extraction, sentiment analysis, summarization and many more. Get started with Language Studio.
This quickstart shows how to create a LUIS app that uses the prebuilt domain `HomeAutomation` for turning lights and appliances on and off. This prebuilt domain provides intents, entities, and example utterances for you. When you're finished, you'll have a LUIS endpoint running in the cloud.
