P08-1092 |
Redundant Sentences Typically ,
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redundancy removal
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is a standard component in MDS
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W09-1312 |
2005 ; Wan and Xiao , 2007 ) for
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redundancy removal
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. The idea is to penalize the
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N10-1108 |
contained by multiple patterns . Our
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redundancy removal
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algorithm involves pruning this
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P06-2020 |
preprocessing , the improvement using our
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redundancy removal
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technique is quite mi - nor .
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W09-1312 |
sentence ranking module , and a
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redundancy removal
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and summary generation module
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P06-2020 |
based upon linguistic trimming and
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redundancy removal
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via a pivoted QR algorithm give
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P06-2020 |
pseudo-relevance feedback was employed for
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redundancy removal
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as mentioned earlier . See (
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W01-0806 |
those fields . We will expand on
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redundancy removal
|
after describing the specific
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N09-3013 |
classification mechanisms . Using
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redundancy removal
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with TE , as opposed to our initial
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P13-1137 |
selected abstracts are processed for
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redundancy removal
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in Post-Selection . Detailed
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P06-2020 |
preprocessing ( sentence trimming ) and a
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redundancy removal
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method . 7.1 Linguistic Preprocessing
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W01-0806 |
) are shown in figure 6 . 3.2
|
Redundancy removal
|
We can further remove redundancy
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P06-2020 |
increases from 0.078 to 0.080 . 7.2
|
Redundancy Removal
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The greedy sentence selection
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W01-0806 |
Call these spaces . In terms of
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redundancy removal
|
, is the specific-lexicalised
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P06-2020 |
preprocess trimming and pivot QR for
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redundancy removal
|
. As dis - played , w pr ) qs
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N10-1108 |
lists are obtained due to the
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redundancy removal
|
. 2 Method Phrase patterns are
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P09-2029 |
approaches , i.e. sentence ranking ,
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redundancy removal
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and sentence re-ordering , are
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W09-1312 |
GOScore si ( i ) ( i ) ( 1 ) ( ) 3.4
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Redundancy Removal
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A good summary contains as much
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P14-1115 |
i = 1 ScoreS = 1 n n i = 1 2.2
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Redundancy Removal
|
Utterances selected in previous
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W09-1312 |
penalty degree factor ω in
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redundancy removal
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-- are investigated in detail
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