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1
Hungarian Academy of Sciences Richárd Farkas †
In: http://www.aclweb.org/anthology-new/J/J12/J12-2004.pdf (2011)
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2
The CoNLL-2010 shared task: Learning to detect hedges and their scope in natural language text
In: http://aclweb.org/anthology//W/W10/W10-3001.pdf (2010)
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3
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms. Discovery Science 2006
In: http://www.inf.u-szeged.hu/~rfarkas/ds_lnai.pdf (2006)
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4
TUD: semantic relatedness for relation classification
In: http://aclweb.org/anthology/S/S10/S10-1046.pdf
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5
Supervised All-Words Lexical Substitution using Delexicalized Features
In: http://aclweb.org/anthology/N/N13/N13-1133.pdf
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6
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In: http://www.inf.u-szeged.hu/~rfarkas/acta2006.pdf
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7
Improving a State-of-the-art Named Entity Recognition System Using the World Wide Web
In: http://www.inf.u-szeged.hu/projectdirs/hlt/papers/icdm_final.pdf
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8
A multilingual named entity recognition system using boosting and c4.5 decision tree learning algorithms
In: http://www.inf.u-szeged.hu/%7Eszarvas/homepage/pdf/multilingner.pdf
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9
Kocsor A: A multilingual named entity recognition system using boosting and c4.5 decision tree learning algorithms
In: http://www.inf.u-szeged.hu/~nistvan/bevinfo/hazi1/hungarianNER.pdf
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10
A highly accurate Named Entity corpus for Hungarian
In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/365_pdf.pdf
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11
A highly accurate Named Entity corpus for Hungarian
In: http://www.inf.u-szeged.hu/%7Eszarvas/homepage/pdf/lrec_ne-corpus.pdf
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12
Linguistic scope-based and biological event-based speculation and negation annotations in the Genia Event and Bio- Scope corpora
In: http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-714/Paper10_Vincze.pdf
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13
The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts
In: http://www.aclweb.org/anthology-new/W/W08/W08-0606.pdf
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14
Hungarian word sense disambiguated corpus
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/847_paper.pdf
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