Title: NLP understanding Speaker: Dimitrios Vlitas (https://linkedin.com/in/dimitrios-vlitas-88a2a318/) Date: Thursday, December 12, 2019 Event: https://meetup.com/Athens-Big-Data/events/266762191/

1. NLP understanding.
Dr. Dimitris Vlitas
University of Toronto
DPL
Technonous ltd.
12/12/2019
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2. 2

3. Goals.
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4. Goals.
Gain insights into human cognition.

5. Goals.
Gain insights into human cognition.
Develop Artificial Intelligence agents as assistants or
companions.

6. Goals.
Gain insights into human cognition.
Develop Artificial Intelligence agents as assistants or
companions.
Solve a major subproblem of artificial general intelligence.

7. Goals.
Gain insights into human cognition.
Develop Artificial Intelligence agents as assistants or
companions.
Solve a major subproblem of artificial general intelligence.
...........

8. Technology vs Cognitive goals.

9. Technology vs Cognitive goals.
James Allen.

10. Technology vs Cognitive goals.
James Allen.
There can be two underlying motivations for building a
computational theory. The technological goal is to simply
build better computers, and any solution that works will be
acceptable.

11. Technology vs Cognitive goals.
James Allen.
There can be two underlying motivations for building a
computational theory. The technological goal is to simply
build better computers, and any solution that works will be
acceptable.
The cognitive goal is to build a computational analog of the
human language processing mechanism. Such a theory would
be acceptable only after it had been verified by experiment.

12. ”Define” understanding.
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13. ”Define” understanding.
To understand a statement is:
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14. ”Define” understanding.
To understand a statement is:
Determine its truth.
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15. ”Define” understanding.
To understand a statement is:
Determine its truth.
Take appropriate actions.
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16. ”Define” understanding.
To understand a statement is:
Determine its truth.
Take appropriate actions.
Translate it to another language.
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17. Debates.
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18. Debates.
The Imitation Game. Alan Turing.
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19. Debates.
The Imitation Game. Alan Turing.
The Chinese room. John Searle
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20. Debates.
The Imitation Game. Alan Turing.
The Chinese room. John Searle
Chomsky.
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21. Brief history.
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22. Brief history.
1960’s: Pattern matching and small rule sets.
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23. Brief history.
1960’s: Pattern matching and small rule sets.
1980’s: Linguistics, Logic rules.
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24. Brief history.
1960’s: Pattern matching and small rule sets.
1980’s: Linguistics, Logic rules.
1990’s: Machine Learning.
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25. Brief history.
1960’s: Pattern matching and small rule sets.
1980’s: Linguistics, Logic rules.
1990’s: Machine Learning.
2000’s: AI.
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26. Thank you!
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