Introduction - Stanford University
Vector
Semantics
Introduction
Dan
J urafsky
Why
vector
models
of
meaning? computing
the
similarity
between
words
"fast"
is
similar
to
"rapid" "tall"
is
similar
to
"height"
Question
answering: Q:
"How
tall is
Mt.
Everest?" Candidate
A:
"The
official
height of
Mount
Everest
is
29029
feet"
2
Dan
J urafsky
Word
similarity
for
plagiarism
detection
Dan
J urafsky Word
similarity
for
historical
linguistics: semantic
change
over
time
Semantic
Broadening
Sagi,
Kaufmann
Clark
2013
45
40
................
................
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