J13-1008 |
complex syntactic patterns , and
|
embedding
|
useful morphological features
|
D15-1031 |
We study the problem of jointly
|
embedding
|
a knowledge base and a text corpus
|
D15-1191 |
Abstract We consider the problem of
|
embedding
|
knowledge graphs ( KGs ) into
|
W05-0627 |
the largest probability among
|
embedding
|
ones are kept . After predicting
|
P14-1011 |
learns how to transform semantic
|
embedding
|
space in one language to the
|
C86-1008 |
axiomatic theory of dialogue ,
|
embedding
|
rhetorical patterns , focusing
|
J10-3010 |
extrinsic evaluation is done by
|
embedding
|
the expansion systems into a
|
H91-1024 |
there is , for example , much more
|
embedding
|
of requests in hypotheticals
|
J80-1001 |
grammars have a straightforward
|
embedding
|
, but which permit various transformations
|
D14-1062 |
relevance for the in-domain task . By
|
embedding
|
our latent domain phrase model
|
J09-1002 |
TransType ideas , the innovative
|
embedding
|
proposed here consists in using
|
C86-1088 |
. The analysis is completed by
|
embedding
|
the DRS representing the text
|
D15-1205 |
</title> R Abstract Compositional
|
embedding
|
models build a representation
|
J82-3001 |
different . The intuitive notion of "
|
embedding
|
a linguistic theory into a model
|
P14-1138 |
penalty function that ensures word
|
embedding
|
consistency across two directional
|
E89-1033 |
has been implemented , and an
|
embedding
|
of this in an interactive parsing
|
D15-1038 |
completion impute missing facts by
|
embedding
|
knowledge graphs in vector spaces
|
P06-2071 |
from the image and text of the
|
embedding
|
web page . We evaluate our method
|
S14-2011 |
provides dense , low-dimensional
|
embedding
|
for each fragment which allows
|
C80-1074 |
Fl ) , nominalization ( FII ) ,
|
embedding
|
( fill ) , connecting ( FIV )
|