K15-1034 documents in dictionary encoded bag-of-words representation . This numerical vector representation
D15-1281 extract unigrams derived from the bag-of-words representation of the video transcripts . The
D13-1058 set of senses . We used a basic bag-of-words representation for the context surrounding a
J11-2003 representations perform worse than the bag-of-words representation ( W ) in every feature group
J09-4010 using only a simple , low-level bag-of-words representation . One avenue for future research
D13-1090 transforming the high-dimensional bag-of-words representation into a lower-dimensional latent
N06-3007 between the document vectors in the bag-of-words representation is not a good similarity measure
J11-2003 that in our noisy setting the bag-of-words representation outperforms any individual structured
D09-1107 post-processed by models relying on bag-of-words representation . Another research direction
C04-1064 rules . However , it is known that bag-of-words representation is not optimal for short texts
D15-1090 recipes relies on simple ingredient bag-of-word representations . While such representations
C04-1059 presented so far , which are simple bag-of-words representations . Incorporating syntactic and
N06-3007 documents which did not require the bag-of-words representation as input . 2.2 Generalized Latent
J11-2003 complementary information to the bag-of-words representation . Even the combination of bag
D11-1014 we used tf-idf weighting on the bag-of-word representations and trained an SVM . KL Predicted
E12-1028 neg - ative ) . We use a simple bag-of-words representation ( without punctuation characters
D15-1016 inputs such as image segments or bag-of-word representations of documents . They can be used
D11-1014 inputs such as image patches or bag-of-word representations of text documents . They can
D09-1061 sentiment-bearing words in the bag-of-words representation of a review ) , then the resulting
D15-1090 recipes more expressively than bag-of-word representations ; and it allows for more nuanced
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