C96-1081 |
hierarchies opens for more compact
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lexicon representations
|
. So far , lexicons have been
|
W15-4209 |
Among the models available for
|
lexicon representation
|
, the lemon model ( McCrae et
|
W11-0301 |
captures the desirability of compact
|
lexicon representation
|
proposed by prior work by using
|
W99-0803 |
founded and practically oriented
|
lexicon representation
|
language . It also has a high
|
P98-2215 |
a lexical semantic approach to
|
lexicon representation
|
. I exemplify my study through
|
Q13-1005 |
2011 ) introduced a factored CCG
|
lexicon representation
|
. Each lexical item is composed
|
P98-2215 |
ap - proaches , there are still
|
lexicon representation
|
issues to be addressed in order
|
C86-1075 |
form . Figure ( 32 ) shows the
|
lexicon representation
|
of the idiom : ( 31 ) x I lend
|
W91-0221 |
" facets used in the DIONYSUS
|
lexicon representations
|
are as follows : 1 . VALUE -
|
|
problem make use of two tools for
|
lexicon representation
|
: inheritance networks and lexical
|
P96-1045 |
They use two main devices for
|
lexicon representation
|
: inheritance networks and lexical
|
W98-0603 |
a transcategorial approach to
|
lexicon representation
|
and investigate some trade-offs
|
D14-1134 |
is formulated on the factored
|
lexicon representation
|
, where each lexical entry is
|
P98-2215 |
WYSINNWYG accepts redundancy in the
|
lexicon representations
|
: lexemes can be both vague and
|
D15-1150 |
representations ( Kim et al. , 2015d ) and
|
lexicon representations
|
( Kim et al. , 2015b ) . Our
|
D09-1111 |
both systems can not use both
|
lexicon representations
|
. Unfortunately , doing so has
|
P98-2215 |
semantic information . 1.2 The
|
Lexicon Representation
|
Problem Within the paradigm of
|
I05-6008 |
larger corpus is desirable . 4
|
Lexicon representation
|
in Alpino The Alpino lexicon
|
E12-1056 |
Subcat-LMF , an ISO - LMF compliant
|
lexicon representation
|
format featuring a uniform representation
|
P98-2215 |
. However , most approaches to
|
lexicon representation
|
in NLP systems have been motivated
|