D15-1187 focus plays a critical role in deep understanding of context . However , existing
C86-1131 nor generator can afford such a deep understanding of input texts . Our approach
D15-1010 have been proposed to enable a deep understanding of information on Twitter . An
C90-1019 of this system is to achieve a deep understanding of small reports dealing with
E14-4001 . In this paper , we focus on deep understanding of the evaluation task within
A83-1028 complex techniques to model . For " deep understanding " applications , we do not contest
C90-1019 of this system is to achieve a deep understanding of small reports dealing with
H92-1051 expansion is impossible without deep understanding of the sentences , or it is impossible
C92-2102 expansion is impossible without deep understanding of the sentences , or it is impossible
D08-1032 answer to a question relies on a deep understanding of the semantics of both . In
J79-1053 which is of course concerned with deep understanding . In Wilks ' system , a sense
C92-1033 as information extraction and deep understanding , a more accurate analysis may
H91-1024 general can not be done without deep understanding of the source text . Similarly
J12-3005 attributes is manually , based on a deep understanding of the learning problem and what
C04-1196 discovery learning : Achieving deep understanding through tutorial dialog . " <title>
J14-1008 thesis , which I share , that a deep understanding of textual documents requires
C90-3028 general can not be ( lone without deep understanding of the source ~ text . Similarly
C82-2020 language ) , neither seems a full or deep understanding necessary in many cases , standard
J08-1008 cognitive problems , requiring deep understanding of semantics and knowledge of
J79-1053 machine translation , rather than in deep understanding of natural language by computer
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