CGSC 2001 Lecture Notes - Lecture 3: Natural Language Understanding, Natural-Language Processing, Terry Winograd

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Week 2 Thursday January 15, 2015
COGSCI 2001
Chapter 2
Milestone 1: Development of artificial devices for natural language processing
Natural Language Understanding
oThe ability to understand/speak natural language is one of the most sophisticated
cognitive abilities
oLanguage is a tool for thinking
Engage in extremely sophisticated coordinated behaviour
oOne way to model how humans store/use linguistic knowledge is to build a machine
oBrand of AI tackling the challenges of building a machine that can speak and understand
natural languages
oEngineering project – can we build programs that can interact and assist humans?
oScientific project – can we develop a computational model of human linguistic abilities?
SHRDLU
oTerry Winograd – natural language understanding program
oExample of how we can implement a complex cognitive ability via computational
processes
oSHRDLU avoids many of the problems of “real life” language comprehension
oShows what can be done with quasi-hierarchically organized and algorithmic routines
oImplement a complex cognitive ability via computational processes
oIncluded virtual blocks and other geometric shapes
In a micro-world
One of the first AI systems to perform a realistic task
oCompared to Eliza:
SHRDLU performs more analysis than Eliza
oSHRDLU can:
answer questions about its world, resolve ambiguity, carry out instruction,
develop plans for carrying out complex instructions, incorporate new words into
its vocabulary, and remember prior commands
oTo accomplish these, SHRDLU needs:
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