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1
Overview of the CLEF 2008 Multilingual Question Answering Track
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2
Eriktks/Clin2017St: Clin 2017 Shared Task (Version V1.0) ...
Sang, Erik Tjong Kim. - : Zenodo, 2017
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Eriktks/Clin2017St: Clin 2017 Shared Task (Version V1.0) ...
Sang, Erik Tjong Kim. - : Zenodo, 2017
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4
GikiCLEF: Crosscultural issues in multilingual information access
Santos, Diana; Cabral, Luís Miguel; Forascu, Corina. - : European Language Resources Association, 2010
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5
GikiCLEF: Crosscultural issues in multilingual information access
Santos, Diana; Cabral, Luís Miguel; Forner, Pamela. - : European Language Resources Association, 2010
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6
To use a treebank or not – which is better for hypernym extraction
In: http://lotos.library.uu.nl/publish/articles/000272/bookpart.pdf (2009)
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7
AUTOMATIC EXTRACTION OF HYPERNYMY INFORMATION Deliverable 6.1
In: http://odur.let.rug.nl/~vannoord/Lassy/deliverable6-1.pdf (2009)
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8
Cornetto Deliverable D08: Acquisition Toolkit
In: http://www2.let.vu.nl/oz/cltl/cornetto/docs/D08 Cornetto Acquisition toolkit.pdf (2008)
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9
Overview of the clef 2008 multilingual question answering track
In: https://ccc.inaoep.mx/%7Evillasen/bib/CLEF08Working_Notes_QA_Overview.pdf (2008)
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10
Learning computational grammars
In: http://acl.ldc.upenn.edu/W/W01/W01-0712.pdf (2001)
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11
Learning Computational Grammars
In: http://staff.science.uva.nl/~erikt/papers/conll2001d.ps.gz (2001)
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12
Learning Computational Grammars
In: http://lcg-www.uia.ac.be/lcg/texts/./pdf/nerbonne.conll2001.pdf (2001)
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13
Learning computational grammars
In: http://www.cnts.ua.ac.be/papers/2001/conlld01.pdf (2001)
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14
Learning computational grammars
In: http://www.cnts.ua.ac.be/conll2001/pdf/09704ner.pdf (2001)
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15
Learning computational grammars
In: http://staff.science.uva.nl/~erikt/papers/conll2001d.pdf (2001)
Abstract: This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable for computational use. We were interested in a more systematic survey to understand the relevance of many factors to the success of learning, esp. the availability of annotated data, the kind of dependencies in the data, and the availability of knowledge bases (grammars). We focused on syntax, esp. noun phrase (NP) syntax. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.337
http://staff.science.uva.nl/~erikt/papers/conll2001d.pdf
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16
Meta-learning for phonemic annotation of corpora
In: http://arxiv.org/pdf/cs/0008013v1.pdf (2000)
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17
Meta-Learning for Phonemic Annotation of Corpora
In: http://lcg-www.uia.ac.be/~erikt/papers/icml2000.ps.gz (2000)
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18
Meta-Learning for Phonemic Annotation of Corpora
In: http://cnts.uia.ac.be/~walter/papers/2000/hdsg00.ps (2000)
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19
Meta-Learning for Phonemic Annotation of Corpora ...
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20
Part of Speech Tagging
In: http://stp.ling.uu.se/~perjo/notes2.ps (1997)
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