P15-2140 analysis , we make use of the Abstract Meaning Representation ( AMR ) corpus . AMR is a formalism
P15-2140 analysis of noun phrases using Abstract Meaning Representation ( AMR ) . AMR is a graph representation
D15-1219 generate abstractive summary based on Abstract Meaning Representation ( AMR ) ( Liu et al. , 2015 )
D15-1136 Abstract We present a parser for Abstract Meaning Representation ( AMR ) . We treat English -
P15-3007 </title> Wei-Te Chen Abstract Abstract Meaning Representation ( AMR ) is a semantic representation
P14-1134 Carbonell Chris Dyer Noah A Abstract Abstract Meaning Representation ( AMR ) is a semantic formalism
P15-2140 Conclusion In this paper , we used Abstract Meaning Representation ( AMR ) for semantic structure
J15-4006 current example is the idea of Abstract Meaning Representation .7 4 . Deep Learning of Language
W00-0207 generation system . Nitrogen 's input , Abstract Meaning Representation ( AMR ) , is a labeled directed
Q14-1042 values from fixed lists . The abstract meaning representation ( AMR ) described by Banarescu
P15-2140 performance by 7.1 points . 2 Abstract Meaning Representation 2.1 Extraction of NPs We extract
P15-1095 Gabor D Christopher Abstract The Abstract Meaning Representation ( AMR ) is a representation for
D15-1136 . <title> Parsing English into Abstract Meaning Representation Syntax-Based Machine Translation
D13-1064 recent proposal for this is the Abstract Meaning Representation ( Banarescu et al. , 2013 ) ,
E14-3010 Soricut and Marcu , 2005 ) , and Abstract Meaning Representation ( Langkilde and Knight , 1998
P14-1134 Discriminative Graph-Based for the Abstract Meaning Representation </title> Jeffrey Flanigan Sam
D14-1048 Aligning English Strings with Abstract Meaning Representation Graphs </title> Nima Pourdamghani
D15-1076 semantic annotation efforts . Abstract Meaning Representation ( Banarescu et al. , 2013 ) can
P15-1149 semantic representations , e.g. Abstract Meaning Representations ( Banarescu et al. , 2013 ) .
P15-1062 structures ( such as dependency trees , abstract meaning representation etc ) for DA of RE , as well
hide detail