D10-1057 used for calibrating our change detection methods . The next 500 examples were
C04-1200 misclassified by the automatic detection method . positive negative total manual
C02-1078 zero pronouns combined with a detection method . In brief , our model consists
D12-1006 the performance of the sub-group detection method to three baselines . The first
C04-1081 present a probabilistic new word detection method , which further improves performance
D13-1151 method combines standard outlier detection methods with a novel interdocument similarity
D09-1131 examine how well our polarity detection method works in combination with a word
C04-1102 language . We propose a robust detection method for transliterated orthographic
C04-1102 </figurecaption> Abstract We propose a detection method for orthographic variants caused
D10-1057 2000 examples we ran each of our detection methods . Experiments were repeated over
C04-1102 Introduction This paper discusses a detection method for transliterated orthographic
D13-1151 comprehensive review of outlier detection methods in textual data , Guthrie ( 2008
C04-1102 similarity . Actually , in the detection method , contextual similarity plays
D13-1065 2006 ) proposed a contradiction detection method that focuses on negation , antonymy
D13-1192 do not compare with other event detection methods because our objective is not
D13-1132 easy to incorporate other trend detection methods as our input . Identifying online
C04-1081 propose a probabilistic new word detection method that is integrated in segmentation
D13-1151 outperforms methods based on any outlier detection method used in conjunction with any
C04-1102 There are two choices for the detection method : One is the use of a dictionary
D13-1142 similar document . Plagiarism detection methods ( Alzahrani et al. , 2012 ; Monostori
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