W03-2003 |
Abstract We describe the overview of
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patent retrieval
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task at NTCIR-3 . The main task
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D13-1175 |
) who use pairwise ranking for
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patent retrieval
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. Their method is a classical
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E12-1012 |
the MAP scores for Cross-Lingual
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Patent Retrieval
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. However , the topics in patent
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W03-2000 |
first ACM SIGIR 2000 Workshop on
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Patent Retrieval
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was held . In this work - shop
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S10-1055 |
has been created for improving
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patent retrieval
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and classification ( Lopez and
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P00-1062 |
information retrieval ( e.g. , a
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patent retrieval
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) , where every relevant document
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W03-2003 |
Participants could try cross-lingual
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patent retrieval
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by using one of the non-Japanese
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D13-1175 |
query . Furthermore , we use the
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Patent Retrieval
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Evaluation Score ( PRES ) 15
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W03-2000 |
to evaluate mono/cross-lingual
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patent retrieval
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systems . In addition , approximately
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D13-1175 |
Cross-language Learning-to - Rank for
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Patent Retrieval
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" . We would like to thank Eugen
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D13-1023 |
based on corpora of the NTCIR
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patent retrieval
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task ( Atsushi Fujii et al. ,
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D13-1175 |
extract relevance judgements for
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patent retrieval
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from patent citations . The key
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D13-1175 |
useful to automatically create a
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patent retrieval
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dataset for our experiments .
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D13-1175 |
in-domain datasets . Furthermore , our
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patent retrieval
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setup gives SMT-based approaches
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W03-2003 |
blocking factor . <title> Overview of
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Patent Retrieval
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Task at NTCIR-3 </title> Makoto
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D15-1069 |
full text note . 2 Related Work
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Patent retrieval
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( Fujii et al. , 2007 ) is similar
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D13-1175 |
technique is useful to develop
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patent retrieval
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systems , it would be interesting
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P12-1002 |
Cross-language Learning-to - Rank for
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Patent Retrieval
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" . Chris Dyer was supported
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D15-1069 |
et al. , 2012 ) . However , the
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patent retrieval
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domain is recall-driven , while
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D15-1069 |
expanded to generate queries in the
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patent retrieval
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domain ( Mahd - abi et al. ,
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