Notes:
Natural language understanding (NLU) is a subfield of artificial intelligence (AI) that focuses on the ability of computers to understand and process human language. NLU involves analyzing and interpreting text or spoken language in order to extract meaning and understanding from it.
NLU is used in a wide range of applications, including natural language processing (NLP), chatbots, virtual assistants, and language translation. It is an essential part of many AI systems that involve human-machine communication, as it enables the system to understand and respond appropriately to user input.
To achieve natural language understanding, AI systems often use techniques such as lemmatization (reducing words to their base form), part-of-speech tagging (identifying the role of a word in a sentence), and named entity recognition (identifying and classifying named entities such as people, organizations, and locations).
Here are a few examples of top natural language understanding (NLU) systems:
- Google Assistant: Google Assistant is a virtual assistant developed by Google that uses NLU to understand and respond to user requests. It is available on a variety of devices, including smartphones and smart speakers, and it can be used to perform a wide range of tasks, such as setting reminders, answering questions, and controlling smart home devices.
- Apple Siri: Siri is a virtual assistant developed by Apple that uses NLU to understand and respond to user requests. It is available on a variety of Apple devices, including iPhones, iPads, and Macs, and it can be used to perform a wide range of tasks, such as setting reminders, answering questions, and controlling smart home devices.
- Amazon Alexa: Alexa is a virtual assistant developed by Amazon that uses NLU to understand and respond to user requests. It is available on a variety of devices, including smart speakers and smart displays, and it can be used to perform a wide range of tasks, such as setting reminders, answering questions, and controlling smart home devices.
- IBM Watson: IBM Watson is a suite of artificial intelligence (AI) and NLU technologies developed by IBM. It is used in a variety of applications, including language translation, image and speech recognition, and natural language processing (NLP).
- Microsoft Cortana: Cortana is a virtual assistant developed by Microsoft that uses NLU to understand and respond to user requests. It is available on a variety of devices, including smartphones and smart speakers, and it can be used to perform a wide range of tasks, such as setting reminders, answering questions, and controlling smart home devices.
Wikipedia:
References:
See also:
Natural Language Understanding | Storytelling & Natural Language Understanding 2019
[226x Jul 2021]
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- AWS ML Summit 2021 | Causality, robustness, and natural language understanding in ML
- Colin Toal, Chisel AI, Natural Language Understanding in the Real World
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- Semantic Folding for Natural Language Understanding with Francisco Webber – #451
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- Klinger: Computational Natural Language Understanding: Use cases in the life sciences and psychology
- natural language understanding for intelligent bots
- State of the Art Natural Language Understanding in Python
- ITSM Office Hour 10 NLU Natural Language Understanding Model Tuning
- Was ist Natural Language Understanding? – Direkt nachgefragt
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- Visualize BERT Attention for Natural Language Understanding (NLU) Use Cases using Amazon SageMaker
- How Natural Language Understanding works in Spoken Dialog Systems such as Alexa and Google Assistant
- FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
- Transforming the Insurance Quoting Process Using Natural Language Understanding
- Demo – Virtual Agent with Natural Language Understanding
- AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises
- IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding
- Int-Ex 2020: Natural Language Understanding in Interaction with Users
- Episode 09 – Natural Language Understanding with Deborah Dahl
- Watson Natural Language Understanding – Getting Started with AI using IBM Watson
- IBM Watson services part1:Natural Language Understanding tutorial
- FastFormers:Highly Efficient Transformer Models for Natural Language Understanding 223x improvement
- Natural Language Understanding Makes All data accessible
- 4 .2 APPROACHES TO NATURAL LANGUAGE UNDERSTANDING
- Self-Training improves Pre-Training for Natural Language Understanding
- DeText: LinkedIn’s Framework for Deep Natural Language Understanding
- Discrete Word Embedding for Logical Natural Language Understanding
- AI understanding language!? A roadmap to natural language understanding.
- NATURAL LANGUAGE UNDERSTANDING FOR NOISY TEXT
- Immersive Gameplay via Improved Natural Language Understanding – FDG 2020
- Deep learning for natural language understanding
- Virtual Agent (VA) Designer and Natural Language Understanding (NLU) Model Builder at a glance
- Learning meaningful representations for natural language understanding giesselbach
- VPM0001760 – 572 – Primer on natural language understanding – CCB1538 – K19 – 20190508
- Dialogflow Context | Conversational AI using Natural Language Understanding
- Webinar: Natural Language Understanding with co-founder Prof. Gabriel Skantze
- What Natural Language Understanding (NLU) Platforms Do You Recommend?
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- DecisionLender 4 – Natural Language Understanding
- Natural language Understanding and learning
- Chatbots and Natural Language Understanding (Aritha Webinar)
- Understanding Natural Language Processing & Natural Language Understanding
- Natural Language Understanding in ServiceNow
- Natural Language Understanding – Part 01 | Optimum Data Analytics
- Improving Natural Language Understanding through Adversarial Testing
- Enabling conversational-based leadership training through advanced natural language understanding
- Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
- Saga Natural Language Understanding Framework | Accenture
- Leveraging Natural Language Understanding (NLU) to Strengthen Security Controls
- Natural Language Understanding and Generation in Artificial Intelligence in hindi | NLP with Example
- Tutorial 02: Natural language Understanding and Generation How NLP Works in Artificial intelligence
- Découvrez Nuha.ai : la première solution tunisienne de Natural Language Understanding
- The latest advancements in natural language understanding (May 2020)
- NATURAL LANGUAGE UNDERSTANDING WITH INCIDENTAL SUPERVISION
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- The best example of natural language understanding is right under your nose | VUX World
- How to build Virtual Agent conversations with Natural Language Understanding (NLU) in ServiceNow
- CS 464 Artificial intelligence Module 6 : Natural Language Understanding problem
- Utterance Annotation: The Art and Science Behind Training in Natural Language Understanding
- A Main Hall 7 Eilon Reshef, Applying Natural Language Understanding at Scale for Business, Gong.io
- Ellie Pavlick: What Do Models of Natural Language “Understanding” Actually Understand | IACS Seminar
- How to enable Natural Language Understanding in many languages | AI & NLP | Roberto Navigli