@inproceedings{dumitrescu-etal-2017-racais,
title = "{RACAI}{'}s Natural Language Processing pipeline for {U}niversal {D}ependencies",
author = "Dumitrescu, Stefan Daniel and
Boros, Tiberiu and
Tufis, Dan",
editor = "Haji{\v{c}}, Jan and
Zeman, Dan",
booktitle = "Proceedings of the {C}o{NLL} 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/K17-3018",
doi = "10.18653/v1/K17-3018",
pages = "174--181",
abstract = "This paper presents RACAI{'}s approach, experiments and results at CONLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. We handle raw text and we cover tokenization, sentence splitting, word segmentation, tagging, lemmatization and parsing. All results are reported under strict training, development and testing conditions, in which the corpora provided for the shared tasks is used {``}as is{''}, without any modifications to the composition of the train and development sets.",
}
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%0 Conference Proceedings
%T RACAI’s Natural Language Processing pipeline for Universal Dependencies
%A Dumitrescu, Stefan Daniel
%A Boros, Tiberiu
%A Tufis, Dan
%Y Hajič, Jan
%Y Zeman, Dan
%S Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F dumitrescu-etal-2017-racais
%X This paper presents RACAI’s approach, experiments and results at CONLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. We handle raw text and we cover tokenization, sentence splitting, word segmentation, tagging, lemmatization and parsing. All results are reported under strict training, development and testing conditions, in which the corpora provided for the shared tasks is used “as is”, without any modifications to the composition of the train and development sets.
%R 10.18653/v1/K17-3018
%U https://aclanthology.org/K17-3018
%U https://doi.org/10.18653/v1/K17-3018
%P 174-181
Markdown (Informal)
[RACAI’s Natural Language Processing pipeline for Universal Dependencies](https://aclanthology.org/K17-3018) (Dumitrescu et al., CoNLL 2017)
ACL