C80-1074 |
of other predicate function by
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embedding
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operator fIII . Connecting operator
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C86-1008 |
axiomatic theory of dialogue ,
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embedding
|
rhetorical patterns , focusing
|
C86-1088 |
The analysis is completed by
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embedding
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the DRS representing the text
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D08-1086 |
investigated , and then a LVCSR system
|
embedding
|
the presented analyzer is evaluated
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D14-1062 |
relevance for the in-domain task . By
|
embedding
|
our latent domain phrase model
|
D14-1167 |
propose a novel method of jointly
|
embedding
|
entities and words into the same
|
D14-1167 |
Times corpus show that jointly
|
embedding
|
brings promising improvement
|
D14-1167 |
facts , compared to separately
|
embedding
|
knowledge graphs and text . Particularly
|
D14-1167 |
text . Particularly , jointly
|
embedding
|
enables the prediction of facts
|
D14-1167 |
reasoning task show that jointly
|
embedding
|
is comparable to or slightly
|
D15-1031 |
study the problem of jointly
|
embedding
|
a knowledge base and a text corpus
|
D15-1038 |
completion impute missing facts by
|
embedding
|
knowledge graphs in vector spaces
|
D15-1200 |
relat - edness , controlling for
|
embedding
|
dimen - sionality . We find that
|
D15-1246 |
syntactic features . We show that all
|
embedding
|
approaches behave similarly in
|
E09-3009 |
Vector Space Model ( VSM ) by
|
embedding
|
additional types of information
|
H89-2024 |
to be added to a document by
|
embedding
|
user-defined sequences of text
|
H90-1008 |
predicates to be at about the time of
|
embedding
|
event ( e.g. , the assertion
|
H90-1008 |
for that causes re-traversal of
|
embedding
|
links , the a and b episodes
|
J03-3003 |
employed and various ways of
|
embedding
|
translation into a retrieval
|
J10-3010 |
extrinsic evaluation is done by
|
embedding
|
the expansion systems into a
|