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1
MULTILINGUAL ACQUISITION OF STRUCTURED INFORMATION VIA NOVEL RELATIONSHIP EXTRACTION MODELS OVER DIVERSE KNOWLEDGE SOURCES
In: http://cs.jhu.edu/~ngarera/publications/thesis_ngarera_2009.pdf (2009)
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2
Translation corpus source and size in bilingual retrieval
In: http://www.mt-archive.info/NAACL-HLT-2009-McNamee.pdf (2009)
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3
BlogVox: Separating Blog Wheat from Blog Chaff
In: http://research.ihost.com/and2007/cd/Proceedings_files/p115.pdf (2006)
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4
BlogVox: Separating Blog Wheat from Blog Chaff
In: http://ebiquity.umbc.edu/get/a/publication/316.pdf (2006)
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5
JHU/APL experiments in tokenization and non-word translation
In: http://www.clef-campaign.org/2003/wn_web/03.pdf (2004)
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6
Comparing cross-language query expansion techniques by degrading translation resources
In: http://www.apl.jhu.edu/~paulmac/publications/6798-mcnamee.pdf (2002)
Abstract: The quality of translation resources is arguably the most important factor affecting the performance of a cross-language information retrieval system. While many investigations have explored the use of query expansion techniques to combat errors induced by translation, no study has yet examined the effectiveness of these techniques across resources of varying quality. This paper presents results using parallel corpora and bilingual wordlists that have been deliberately degraded prior to query translation. Across different languages, translingual resources, and degrees of resource degradation, pre-translation query expansion is tremendously effective. In several instances, pre-translation expansion results in better performance when no translations are available, than when an uncompromised resource is used without pre-translation expansion. We also demonstrate that post-translation expansion using relevance feedback can confer modest performance gains. Measuring the efficacy of these techniques with resources of different quality suggests an explanation for the conflicting reports that have appeared in the literature. 1.
URL: http://www.apl.jhu.edu/~paulmac/publications/6798-mcnamee.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.163.6628
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7
Comparing Cross-Language Query Expansion Techniques by Degrading Translation Resources
In: http://apl.jhu.edu/~paulmac/publications/6798-mcnamee.ps.gz (2002)
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8
JHU/APL Experiments at CLEF: Translation Resources and Score Normalization
In: http://www.ercim.org/publication/ws-proceedings/CLEF2/mcnamee.pdf (2001)
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9
The HAIRCUT System at TREC-9
In: http://trec.nist.gov/pubs/trec9/./papers/jhuapl.ps (2001)
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10
Two-Level Models of Hypertext
In: http://www.cs.umbc.edu/~mayfield/pubs/two-level.ps (1995)
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11
Snitch: Augmenting Hypertext Documents With A Semantic Net
In: http://www.cs.umbc.edu/~nicholas/pubs/snitch/paper.ps (1993)
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12
Snitch: Augmenting Hypertext Documents With A Semantic Net
In: http://www.cs.umbc.edu/~mayfield/pubs/ijicis93.ps (1993)
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13
Translation of Multiword Expressions Using Parallel Suffix Arrays
In: http://www.mt-archive.info/AMTA-2006-McNamee.pdf
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14
CLEF-2000 Notebook Paper A Language-Independent Approach to European Text Retrieval
In: http://ceur-ws.org/Vol-1166/CLEF2000wn-adhoc-McNameeEt2000.pdf
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15
Scalable multilingual information access
In: http://ceur-ws.org/Vol-1168/CLEF2002wn-adhoc-McNameeEt2002.pdf
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16
Cross-Language Entity Linking
In: http://www.aclweb.org/anthology/I/I11/I11-1029.pdf
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17
Cross-Language Person-Entity Linking from Twenty Languages
In: http://www.ece.umd.edu/~oard/pdf/jasist14lawrie.pdf
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18
Combining Methods for the TREC 2003 Robust Track
In: http://www.scils.rutgers.edu/~muresan/IR/TREC/Notebooks/t12_notebook/papers/jhu-apl.robust.pdf
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19
JHU/APL at TREC 2002: Experiments in Filtering and Arabic Retrieval
In: http://trec.nist.gov/pubs/trec11/papers/jhuapl.mcnamee.pdf
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20
Overview JHU/APL at TREC 2004: Robust and Terabyte Tracks
In: http://trec.nist.gov/pubs/trec13/papers/jhu-apl.robust.tera.pdf
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