W04-1110 |
similarity of wAl and wqk . Most of the
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keyword expansion
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approaches use the extension
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J10-3003 |
theoretical frameworks for query
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keyword expansion
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using paraphrases . One of the
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W06-0703 |
coverage of garbage keywords after
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keyword expansion
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by using available linguistic
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W03-1117 |
performed by the iteration of
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keyword expansion
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and cluster expansion . More
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D14-1152 |
conduct experiments with random
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keyword expansion
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as baselines . According to the
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P02-1005 |
( module M4 ) coupled with the
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keyword expansion
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( module M5 ) generate 34.6 %
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P02-1005 |
answer type ( module M3 ) and
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keyword expansion
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( module M5 ) from Figure 1 are
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J03-4006 |
retrieval . Here , straightforward
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keyword expansion
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and contraction techniques are
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W08-1807 |
lexico-semantic alternations from WordNet as
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keyword expansions
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to the retrieval component of
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W00-1102 |
rearranged by the presence of the
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keyword expansions
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. What we expect is an improvement
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W00-1102 |
inventore AND luce_elettrica ) 2.2
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Keyword expansion
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insertion search ( KIS ) In this
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D14-1152 |
top-n words for each word . 2.3
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Keyword Expansion
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with Syntactic Information For
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W00-1102 |
from the verb ) . 1.3 Synonyms
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Keyword expansion
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based on synonyms can potentially
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D14-1152 |
words ( MW-Weak ) .2 2.2 Simple
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Keyword Expansion
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With the financial sentiment
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P02-1005 |
architecture in several ways .
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Keyword expansion
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( module M5 ) is enhanced to
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D14-1152 |
2246/4 -2 ) . <title> Financial
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Keyword Expansion
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Continuous Word Vector Representations
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W00-1102 |
search engine . One modality ( i.e.
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Keyword expansion
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Insertion Search - KIS ) first
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D14-1152 |
conduct experiments with random
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keyword expansion
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( called EXP-RAN ) ; for the
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D14-1152 |
year into 5 risk levels . 4.2
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Keyword Expansion
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In our experiments , Section
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D14-1152 |
financial risk prediction . 2
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Keyword Expansion
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via Financial Sentiment Lexicon
|