D08-1083 level requires more than a simple bag-of-words approach . One of the difficulties is
D08-1083 expression requires more than a simple bag-of-words approach . In particular , words or constituents
H05-1118 documents . Traditional IR uses a bag-of-words approach using plain text keywords to
D13-1196 and verbs ) . We use a standard bag-of-words approach , counting within-sentence collocates
J10-3003 Parameter Estimation . Using a bag-of-words approach to parameter estimation results
J03-3003 . However , under the current bag-of-words approach , the relevant documents containing
J12-2001 systems for Wikipedia data follow a bag-of-words approach . None of the top-ranked systems
J15-2004 which can not be well handled by bag-of-words approaches . We show that complicated phenomena
E12-1085 words ( a classifier based on bag-of-words approach was used ) . The same holds true
J98-1001 topical context typically uses the bag-of-words approach , in which words in the context
H05-1076 ? MVerb identified : " help " bag-of-words approach in reading comprehension . 3
C04-1201 attributes : if we want to use the bag-of-words approach , we will face the problem of
D13-1102 on this problem has adopted a bag-of-words approach where lexical similarity and
D13-1102 These solutions have adopted the bag-of-words approach for representing queries and
D10-1011 2010b ) compared to a traditional bag-of-words approach . More recently , Boudin et al.
K15-1026 participating words , and , instead , a bag-of-words approach is taken .1 This bag-of-words
D15-1263 substantial improvements over the bag-of-words approach for lexiconbased sentiment analysis
H01-1072 parse . Rather than choosing a bag-of-words approach , since word order is important
D10-1084 for this task . While a simple bag-of-words approach provides a solid baseline , we
J09-4011 Kanthak , and Patrick Haffner take a bag-of-words approach , ignoring ordering information
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