D15-1172 order logic representation of the sentence interpretation , are shown in red . Predicates
H91-1043 interested in ASU systems performing sentence interpretation in restricted domains . In this
C90-2032 1 . Introduction Ambiguity in sentence interpretation is a major problem in natural
E91-1027 paths for validity as complete sentence interpretations are done using local constraints
D15-1038 representations in the context of logic and sentence interpretation . In Socher et al. ( 2012 ) ,
C04-1179 interesting to attempt an automatic sentence interpretation . We build semantic parsing based
J92-3001 lexicon . As well as being used in sentence interpretation , the full lexicon is also used
C90-3051 where ditferent assumptions about sentence interpretations constitute different " worlds
D15-1172 logic formulas for the resulting sentence interpretations . Table 4 shows additional examples
H91-1043 Given a method for scoring partial sentence interpretations in ASU systems , how can the
J96-4004 between word identification and sentence interpretation . We are therefore motivated
D15-1172 expressive model , we can encode the sentence interpretations required to perform the disambiguation
D15-1172 the word constraints . Given a sentence interpretation , we construct a sentence-specific
D15-1172 per sentence and 3.37 videos per sentence interpretation , corresponding to a total of
J91-2002 object relations , etc. . It is in sentence interpretation that a full disambiguation is
J91-1003 introduced more actively into sentence interpretation . At present , the meaning of
D15-1172 with various types , different sentence interpretations always represent distinct sentence
J83-1006 will be a full-fledged model of sentence interpretation that is sensitive to both structural
D14-1136 that context is indispensable for sentence interpretation -- even when probabilities for
J91-2002 knowledge base can induce errors in sentence interpretation , when multiple constraints are
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