The document discusses the history and domains of artificial intelligence and natural language processing. It notes that AI has evolved from early work in philosophy, logic and psychology in the 1940s to current areas like deep learning, computer vision, machine learning, robotics, planning and search, and natural language processing. For NLP, it describes techniques like part-of-speech tagging, rule-based and statistical approaches, and applications in chatbots and augmentative intelligence.

3. Pushing the limits of technology

4. AI and NLP
Natural Language Processing and AI

7. Natural Language
Expert Systems
Agent Systems
Deep Learning
2000s1980s
1940s 1990s

8. PhilosophyLogic
Computer SciencePsychology
Biology
Evolution

9. Domains of AI

11. 1. Evolutionary Computation
2. Deep Learning
3. Computer Vision
4. Machine Learning
5. Robotics
6. Planning and Search
7. Natural Language Processing

12. Evolutionary Computation
Biomimicry in technology

14. Evolutionary Computation
Biomimicry in technology

15. Computer Vision
Optics as a sensory input

17. Machine Learning
Hypeword of 2017

18. Robotics
Mechanical mimicry of intelligence

20. Planning and Search
Grandfather tech of AI, but probably very underrated

24. Deep Learning
Emulation of neurons through software

25. Use of game engines
to simulate learning
environments
Whoever said that
games are bad for you
is totally wrong now.
Deep Learning
Emulation of neurons through software

26. Speech and Language Processing
Linguistic and conversational intelligence

27. Language is a logical
progression of ideas,
expressions, and
equations.
Hi, do you guys carry 250g of
the Panama coffee beans?
Natural Language Processing
Speech generation, language understanding and generation

28. Part-of-Speech Tagging
Hi, do you guys carry 250g of
the Panama coffee beans?
Rule-based and stochastic understanding of language
Hi do you
Tagging of each symbol’s
function as a noun, verb,
determiner, pronoun, preposition,
etc.
guys carry
Panama
of the250g
coffee beans

29. Part-of-Speech Tagging
Hi do you
Tagging of each symbol’s
function as a noun, verb,
determiner, pronoun, preposition,
etc.
guys carry
Panama
of the250g
coffee beans
Conversion of natural language to First-Order Logic
Programming rules and functions
to respond to certain
permutations and combinations
of parts-of-speech

30. Hi, do you guys carry 250g of
the Panama coffee beans?
Statistical NLP
Bags of words and Word2Vec
Language is an expression
of ideas bound by arbitrary
rules and systems.

31. Hi, do you guys carry 250g of
the Panama coffee beans?
carry
stock have contain sell
Statistical NLP
Context identification
Word-choice and positioning are
arbitrary by nature
Language is an abstraction of the
same intention and context
Hi, meron ba kayong 250g nung
Panama coffee beans?

32. Algorithms are fed petabytes of data to learn the statistics of
language, similar to how a human would learn language

33. Enterprise NLP
Chatbots and Augmentative Intelligence

34. Thank You