J80-1001 grammars have a straightforward embedding , but which permit various transformations
W15-3820 representations , also known as word embedding , have been shown to improve
C00-1055 functions such as the level of embedding , number of parentheses , and
J00-3002 the unacceptability of center embedding , preference for lower attach
P13-2087 that takes as input an existing embedding , some labeled data , and produces
W15-4310 representation . Besides word embedding , we use partof-speech ( POS
W10-4104 other examples of this section are embedding , while this example is of overlapping
C92-2095 eliminate unnecessary center - embedding ; and ( 3 ) eliminating of scrambling
C80-1009 construction capable of unlimited embedding . The results of this treatment
W11-1827 that is based on the notion of embedding . We apply our methodology to
C82-2022 of PP 's , for which both the " embedding " and the " same-level " hypotheses
C80-1074 Fl ) , nominalization ( FII ) , embedding ( fill ) , connecting ( FIV )
J98-4006 especially those involving central embedding ( recursion ) , was one of the
S14-2033 concatenating the sentiment-specific word embedding ( SSWE ) features with the state-of-the-art
D14-1030 some learned representation ( embedding ) , and ( 3 ) compute output
D15-1031 We study the problem of jointly embedding a knowledge base and a text corpus
J82-3001 different . The intuitive notion of " embedding a linguistic theory into a model
T78-1035 recognized the desirability of embedding a theory of grammar within a
P15-2098 ranking . We show that radical embedding achieves com - parable , and
D15-1306 and incorporating frame-semantic embedding achieves the best overall performance
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