A.L.I.C.E. (Artificial Linguistic Internet Computer Entity), also referred to as Alicebot, or simply Alice, is a natural language processing chatterbotâa program that engages in a conversation with a human by applying some heuristical pattern matching rules to the human's input. It was inspired by Joseph Weizenbaum's classical ELIZA program. It is one of the strongest programs of its type and has won the Loebner Prize, awarded to accomplished humanoid, talking robots, three times (in 2000, 2001, and 2004). The program is unable to pass the Turing test, as even the casual user will often expose its mechanistic aspects in short conversations. Alice was originally composed by Richard Wallace; it "came to life" on November 23, 1995. The program was rewritten in Java beginning in 1998. The current incarnation of the Java implementation is Program D. The program uses an XML Schema called AIML (Artificial Intelligence Markup Language) for specifying the heuristic conversation rules. Alice code has been reported to be available as open source. The AIML source is available from ALICE A.I. Foundation on Google Code and from the GitHub account of Richard Wallace. These AIML files can be run using an AIML interpreter like Program O or Program AB. (Wikipedia).
Linguistic Engineering - Computers and Linguistics
This introductory E-Lecture about Linguistic Engineering discusses the role of the computer in linguistics. Furthermore, it defines Artificial Intelligence and Computational Linguistics from a theoretical and a practical point of view. Numerous examples illustrate Handke's main points.
From playlist Linguistic Engineering
But what is an Artificial Neuron? | Artificial Neurons decoded
#ArtificialNeuron #perceptron #deeplearning In this video, I have explained the concept of an artificial neuron from a mathematical point of view. This video will help the beginners to understand the building blocks of the modern day deep neural nets. You will get to know what are the dif
From playlist Learn Machine Learning Concepts
Linguistic Engineering - The Internet
This E-Lecture provides an overview of the Internet: its underlying concepts, the basic terminology and the history. Further aspects that are dealt with: IP Number, Dimain Names and Internet services.
From playlist Linguistic Engineering
This lecture discusses artificial intelligence (AI) in the context of data science and machine learning. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
Artificial Intelligence Applications 2021|Artificial Intelligence Examples In Real Life |Simplilearn
đ„Free Artificial Intelligence Course: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=AI&utm_medium=DescriptionFirstFold&utm_source=youtube Artificial Intelligence is no more a buzz; it has become a reality. With companies using artificial intelligence to build intelligent
How Can You Tell If A Machine Is Thinking?
Please Subscribe! http://testu.be/1FjtHn5 The term Artificial Intelligence was coined in 1959, but many variations of the concept has emerged over time. Early versions of A.I. can be found as early as the 1700's. Well, sort of... + + + + + + + + Sources: Multiple Intelligences
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R & Python - Introduction to Natural Language Processing (2022)
Lecturer: Dr. Erin M. Buchanan Spring 2022 https://www.patreon.com/statisticsofdoom This video is part of my Natural Language Processing course. You will learn an introduction to NLP in this video. You can learn more about the course at: https://statisticsofdoom.com/page/natural-langua
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Research Explained: Artificial Intelligence
Martin Swany, Chair of Intelligent Systems Engineering at Indiana University, sits down to talk about Artificial Intelligence. Department of Intelligent Systems Engineering Webpage: https://engineering.indiana.edu/ Follow us on: Twitter: https://twitter.com/IndianaResearch Face
From playlist Research Explained
R & Python - Introduction to Natural Language Processing
Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my Natural Language Processing course. You will learn an introduction to NLP in this video. Note: these videos are part of live online lectures, so random interruptions are normal!
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Python - Introduction to NLP (2023 New)
Lecturer: Dr. Erin M. Buchanan Spring 2023 https://www.patreon.com/statisticsofdoom This video is the first part of the updated lecture series on NLP. You will get an introduction to language, NLP, machine learning and deep learning for NLP, and more. You can view this lecture to see what
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Fireside Talks: Artificial Intelligence (AI) and Language
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2021
23C3: A Natural Language Database Interface using Fuzzy Semantics
Speaker: Richard Bergmair We give a thorough exposition of our natural language database interface that produces result sets ranked according to the degree to which database records fulfill our intuitions about vague expressions in natural language such as `a small rainy city near San Fr
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Artificial intelligence: Making a human connection - Genevieve Bell (Intel Corporation)
We have been talking about robots and artificial intelligence forever, or so it sometimes seems. Images of smart machinery have inhabited our thinking and our literary and cultural imaginations long before technology made such objects possible. It is tempting to keep separate the art and s
From playlist Artificial Intelligence
ArrrrCamp 2014- Natural Language Processing with Ruby
By, Konstantin Tennhard Natural Language Processing (NLP) is the art and science of making sense of user-generated data. It is a combination of state-of-the-art computer science techniques and linguistics. Being able to analyze plain text data allows us to gain a lot of insights. Popular
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Rasa Reading Group: What Will it Take to Fix Benchmarking in Natural Language Understanding
This week we'll be read "What Will it Take to Fix Benchmarking in Natural Language Understanding?" by Samuel R. Bowman and George E. Dahl. It will appear at NAACL 2021. Link to paper: https://arxiv.org/abs/2104.02145 Learn more about Rasa: https://rasa.com Rasa documentation: http://ras
From playlist Rasa Reading Group
Artificial Intelligence: The Future of Software
Whether you realize it or not, we are currently entering the era of artificial intelligence. AI technologies will radically transform our economy, our society, and our lives. As a result, the software industry is preparing for a major transition as well. However, most developers do not yet
From playlist Machine Learning
Rasa Reading Group: Climbing Towards NLU (Part 1.2)
Join Rachael and Adam as they start reading the paper "Climbing Towards NLU: On Meaning, Form, and Understanding in the Age of Data" (Bender & Koller 2020) together. Link to paper: https://www.aclweb.org/anthology/2020.acl-main.463/
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What is The Alan Turing Institute?
Take a look at what it means to be the national institute for data science and artificial intelligence (AI). From tackling cutting edge, real-world challenges to training the next generation of leaders in data science and AI. Find out more at turing.ac.uk About the Turing The Alan Turing
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