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EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition
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| 3 |
KD Strikes Back: from Keyphrases to Labelled Domains Using External Knowledge Sources
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| 7 |
C-ODO: an OWL metamodel for collaborative ontology design
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In: http://www.ra.ethz.ch/CDstore/www2007/km.aifb.uni-karlsruhe.de/ws/ckc2007/papers/GangemiLehmannPresuttiNissimCatenacci.pdf (2007)
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BASE
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| 8 |
Learning Information Status of Discourse Entities
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In: http://acl.ldc.upenn.edu/W/W06/W06-1612.pdf (2006)
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BASE
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| 9 |
Cross-Lingual Question Answering by Answer Translation
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In: http://www.ltg.ed.ac.uk/~jbos/pubs/bosCLEF2006.pdf (2006)
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Abstract:
We approach cross-lingual question answering by using a mono-lingual QA system for the source language and by translating resulting answers into the target language. As far as we are aware, this is the first cross-lingual QA system in the history of CLEF that uses this method—all other cross-lingual QA systems known to us use translation of the question or query instead. We demonstrate the feasibility of this approach by using a mono-lingual QA system for English, and translating answers and finding appropriate documents in Italian and Dutch. For factoid and definition questions, we achieve overall accuracy scores ranging from 13 % (EN→NL) to 17% (EN→IT) and lenient accuracy figures from 19 % (EN→NL) to 25 % (EN→IT). The advantage of this strategy to cross-lingual QA is that translation of answers is easier than translating questions—the disadvantage is that answers might be missing from the source corpus and additional effort is required for finding supporting documents of the target language.
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Keyword:
Design; Experimentation Keywords question answering; Measurement; Performance; Processing General Terms Algorithms
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.1254
http://www.ltg.ed.ac.uk/~jbos/pubs/bosCLEF2006.pdf
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| 10 |
Comparing knowledge sources for nominal anaphora resolution
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In: http://www.comp.leeds.ac.uk/markert/Papers/CL2005.pdf (2005)
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| 11 |
Comparing knowledge sources for nominal anaphora resolution
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In: http://acl.ldc.upenn.edu/J/J05/J05-3004.pdf (2005)
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BASE
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| 12 |
Question Answering with QED at TREC-2005
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In: http://trec.nist.gov/pubs/trec14/./papers/uedinburgh-nissim.qa.pdf (2005)
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| 13 |
Using the web in machine learning for other-anaphora resolution
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In: http://www.coli.uni-saarland.de/~regneri/courses/WebAsCorpus-08/papers/Modjeska-etal-03.pdf (2003)
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| 14 |
Using the web for nominal anaphora resolution
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In: http://www.comp.leeds.ac.uk/markert/Papers/eaclws2003.pdf (2003)
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| 15 |
Using the Web for Nominal Anaphora Resolution
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In: http://www.comp.leeds.ac.uk/markert/Papers/eaclws2003.ps.gz (2003)
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| 16 |
Using the Web in Machine Learning for Other-Anaphora Resolution
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In: http://ftp.cs.toronto.edu/pub/gh/modjeskaetal.ps (2003)
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| 17 |
Answer Translation: An Alternative Approach to Cross-Lingual Question Answering
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In: http://www.let.rug.nl/bos/pubs/BosNissim2007CLEF.pdf
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| 18 |
Extracting MWEs from Italian corpora: A case study for refining the POS-pattern methodology
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In: http://www.aclweb.org/anthology/W/W14/W14-0809.pdf
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| 19 |
Using the Web for Anaphora Resolution
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In: http://ftp.cs.toronto.edu/pub/gh/markert-nissim-modjeska.pdf
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| 20 |
Comparing Knowledge Sources for Nominal Anaphora Resolution
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In: http://eprints.whiterose.ac.uk/5389/1/KatjaCL2005.pdf
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