S14-2037 SemEval-2014 Task 3 for paragraph to sentence comparisons . 3.2 Parameters For each stage
P13-2047 evaluation efforts using pairwise sentence comparisons by human judges to simulate sort
C02-1047 implementing a more principled model for sentence comparison which yields more accurate probabilities
P14-3008 phrases . Secondly , pairwise sentence comparison does not solve the problem either
W09-3109 - nation . This allows better sentence comparison by incorporation of sort of linguistic
D10-1061 ranking problem as a pairwise sentence comparison problem . This approach , inspired
J15-1004 automated alignment , and include sentence comparisons that would penalize models which
J05-3002 challenges -- such as a need for sentence comparison -- but at the same time it opens
W06-1106 English task where participants used sentence comparison exten - sively . While the task
S12-1086 automatically evaluated based on sentence comparison . In Text Coherence Detection
W03-0506 recall are the same for summaries sentences comparison . First , we make experiments
P99-1071 systems , then we will detail our sentence comparison technique , and describe the
W06-1106 reviewers for their comments . <title> Sentence Comparison using Robust Minimal Recursion
W02-0227 to implement a more principled sentence comparison procedure ( Section 4.1 ) , with
C02-1047 to implement a more principled sentence comparison procedure ( Section 4.1 ) , with
W06-1106 Abstract We design and test a sentence comparison method using the framework of
W06-1100 Nerbonne Erhard Hinrichs Ido Dagan Sentence Comparison Using Robust Minimal Recursion
P13-1138 DocSys generations ( all other sentence comparisons were consistent with the non-expert
W06-1106 - son , or post-processing the sentence comparison outputs . This could be particularly
W11-1207 of the corpus , thus enabling sentence comparison to be performed in the target
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