W15-4922 usually employed for tasks such as near-duplicate detection of websites , but can be applied
X98-1007 same or a similar manner . If the near-duplicate detection effort is successful , the resulting
X98-1017 Detection . The goal of our work in near-duplicate detection is to develop methods for delineating
X98-1007 focuses on high precision IR , near-duplicate detection and context-dependent summarization
P13-1135 existing translation system and used near-duplicate detection methods to find candidate parallel
P13-1135 parallel Wikipedia documents by using near-duplicate detection , though they did not need to
K15-1013 questions . These tasks include near-duplicate detection , paraphrase identification and
D12-1032 papers on authorship attribution , near-duplicate detection , deduplication , record linkage
K15-1013 addressed in this work . Duplicate and Near-Duplicate Detection aims to detect exact copies or
X98-1007 high-precision information retrieval , near-duplicate detection , and summarization will be sufficiently
E06-2001 20GB of uncompressed data . 4 Near-duplicate detection We use a simplified version of
P06-3008 , Word Sense Disambiguation , Near-duplicate detection , bilingual alignment ( e.g.
W11-3603 we used Broder et al. ( 1997 ) near-duplicate detection algorithm , and store only one
W15-3712 2006 ; Voß et al. , 2009 ) . Near-duplicate detection based on metadata is also well
W06-1639 applied the NLP technologies of near-duplicate detection and topic-based text categorization
X98-1007 technical paper \ -LSB- 2 \ -RSB- . NEAR-DUPLICATE DETECTION The goal of the research in this
X98-1017 documents given to the user . 2 . Near-Duplicate Detection . The goal of our work in near-duplicate
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