J07-1005 |
described supply the features on which
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semantic matching
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occurs . This section describes
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N04-1019 |
summaries . Our method involves
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of content units to which differential
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J79-1049 |
translation , but they are necessary for
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semantic matching
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in the relative clause . In the
|
D13-1102 |
cases can be handled by using a
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semantic matching
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method that yields higher coverage
|
D14-1007 |
, which has a separate list of
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semantic matching
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rules for each domain to enable
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H05-1117 |
serve as a surrogate for this
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semantic matching
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process . Experience with the
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D13-1096 |
in Table 1 . As it shows , the
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semantic matching
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helps slightly improve the overall
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J79-1049 |
problems which it oncountors .
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Semantic Matching
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. ln order to illustrate the
|
D15-1056 |
believe to be due to the relaxed
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semantic matching
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caused by using the word embeddings
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D13-1096 |
) . Also it is clear that the
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semantic matching
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feature ( described in Section
|
D13-1096 |
Post-Response relation failed with
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semantic matching
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feature . POST-POST SIMILARITY
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D13-1096 |
and y . This is to capture the
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semantic matching
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between a Weibo post and a response
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J95-1001 |
inference . While we found a good
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semantic matching
|
of adjective senses with the
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J07-1005 |
Figure 1 : knowledge extraction ,
|
semantic matching
|
for scoring Architecture of our
|
J11-2003 |
, but rather , based on better
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semantic matching
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between test question and candidate
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J79-1049 |
economical to deal with it diring the
|
semantic Matching
|
. Now let us see how the disambiguation
|
J79-1049 |
program , it is necessary for
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semantic matching
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and also because in many target
|
D15-1219 |
pyramid evaluation metric involves
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semantic matching
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of summary content units ( SCUs
|
D13-1096 |
example be - low . Our bi-linear
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semantic matching
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model however performs relatively
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J03-2001 |
insensible . 3.2 Coherence of the
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Semantic Matching
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The final step in the model consists
|