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Simple Search
Hits 1 – 18 of 18
1
Universal Dependencies 2.9
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2021
BASE
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2
Universal Dependencies 2.8.1
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2021
BASE
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3
Universal Dependencies 2.8
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2021
BASE
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4
Universal Dependencies 2.7
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2020
BASE
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5
Universal Dependencies 2.6
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2020
BASE
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6
Universal Dependencies 2.5
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2019
BASE
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7
Universal Dependencies 2.4
Nivre, Joakim
;
Abrams, Mitchell
;
Agić, Željko
. - : Universal Dependencies Consortium, 2019
BASE
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8
Universal Dependencies 2.3
Nivre, Joakim
;
Abrams, Mitchell
;
Agić, Željko
. - : Universal Dependencies Consortium, 2018
BASE
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9
Universal Dependencies 2.2
Nivre, Joakim
;
Abrams, Mitchell
;
Agić, Željko
. - : Universal Dependencies Consortium, 2018
BASE
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10
Universal Dependencies 2.1
Nivre, Joakim
;
Agić, Željko
;
Ahrenberg, Lars
...
In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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11
Universal Dependencies 2.0 alpha (obsolete)
Nivre, Joakim
;
Agić, Željko
;
Ahrenberg, Lars
. - : Universal Dependencies Consortium, 2017
BASE
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12
Universal Dependencies 2.0
Nivre, Joakim
;
Agić, Željko
;
Ahrenberg, Lars
. - : Universal Dependencies Consortium, 2017
BASE
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13
Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
Nivre, Joakim
;
Agić, Željko
;
Ahrenberg, Lars
. - : Universal Dependencies Consortium, 2017
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14
Universal Dependencies 2.1
Nivre, Joakim
;
Agić, Željko
;
Ahrenberg, Lars
. - : Universal Dependencies Consortium, 2017
BASE
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15
Multilingual Projection for Parsing Truly Low-Resource Languageš
Agic, Zeljko
;
Johannsen, Anders
;
Plank, Barbara
;
Martínez Alonso, Héctor
;
Schluter, Natalie
;
Søgaard, Anders
In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01426754 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2016 (2016)
Abstract:
International audience ; We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All that is needed are freely available parallel texts, and taggers and parsers for resource-rich languages. The empirical evaluation across 30 test languages shows that our method consistently provides top-level accuracies , close to established upper bounds, and outperforms several competitive baselines.
Keyword:
[SHS.LANGUE]Humanities and Social Sciences/Linguistics
;
[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
;
dependency parsing
;
multisource projection
;
natural language processing
;
syntax
URL:
https://hal.inria.fr/hal-01426754/document
https://hal.inria.fr/hal-01426754
https://hal.inria.fr/hal-01426754/file/Q16-1022.pdf
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16
Universal Dependencies 1.4
Nivre, Joakim
;
Agić, Željko
;
Ahrenberg, Lars
. - : Universal Dependencies Consortium, 2016
BASE
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17
Universal Dependencies 1.3
Nivre, Joakim
;
Agić, Željko
;
Ahrenberg, Lars
. - : Universal Dependencies Consortium, 2016
BASE
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18
Universal Dependencies 1.2
Nivre, Joakim
;
Agić, Željko
;
Aranzabe, Maria Jesus
. - : Universal Dependencies Consortium, 2015
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