CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Daniel Zeman, Martin Popel, Milan Straka, Jan Hajič, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajič jr., Jaroslava Hlaváčová, Václava Kettnerová, Zdeňka Urešová, Jenna Kanerva, Stina Ojala, Anna Missilä, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, Héctor Martínez Alonso, Çağrı Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Jesse Kirchner, Hector Fernandez Alcalde, Jana Strnadová, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendonça, Tatiana Lando, Rattima Nitisaroj, Josie Li
Abstract
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets. In 2017, the task was devoted to learning dependency parsers for a large number of languages, in a real-world setting without any gold-standard annotation on input. All test sets followed a unified annotation scheme, namely that of Universal Dependencies. In this paper, we define the task and evaluation methodology, describe how the data sets were prepared, report and analyze the main results, and provide a brief categorization of the different approaches of the participating systems.- Anthology ID:
- K17-3001
- Original:
- K17-3001v1
- Version 2:
- K17-3001v2
- Volume:
- Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Jan Hajič, Dan Zeman
- Venue:
- CoNLL
- SIG:
- SIGNLL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1–19
- Language:
- URL:
- https://aclanthology.org/K17-3001
- DOI:
- 10.18653/v1/K17-3001
- Bibkey:
- Cite (ACL):
- Daniel Zeman, Martin Popel, Milan Straka, Jan Hajič, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajič jr., Jaroslava Hlaváčová, Václava Kettnerová, Zdeňka Urešová, et al.. 2017. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 1–19, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies (Zeman et al., CoNLL 2017)
- Copy Citation:
- PDF:
- https://aclanthology.org/K17-3001.pdf
- Data
- Universal Dependencies
Export citation
@inproceedings{zeman-etal-2017-conll,
title = "{C}o{NLL} 2017 Shared Task: Multilingual Parsing from Raw Text to {U}niversal {D}ependencies",
author = {Zeman, Daniel and
Popel, Martin and
Straka, Milan and
Haji{\v{c}}, Jan and
Nivre, Joakim and
Ginter, Filip and
Luotolahti, Juhani and
Pyysalo, Sampo and
Petrov, Slav and
Potthast, Martin and
Tyers, Francis and
Badmaeva, Elena and
Gokirmak, Memduh and
Nedoluzhko, Anna and
Cinkov{\'a}, Silvie and
Haji{\v{c}} jr., Jan and
Hlav{\'a}{\v{c}}ov{\'a}, Jaroslava and
Kettnerov{\'a}, V{\'a}clava and
Ure{\v{s}}ov{\'a}, Zde{\v{n}}ka and
Kanerva, Jenna and
Ojala, Stina and
Missil{\"a}, Anna and
Manning, Christopher D. and
Schuster, Sebastian and
Reddy, Siva and
Taji, Dima and
Habash, Nizar and
Leung, Herman and
de Marneffe, Marie-Catherine and
Sanguinetti, Manuela and
Simi, Maria and
Kanayama, Hiroshi and
de Paiva, Valeria and
Droganova, Kira and
Mart{\'\i}nez Alonso, H{\'e}ctor and
{\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i} and
Sulubacak, Umut and
Uszkoreit, Hans and
Macketanz, Vivien and
Burchardt, Aljoscha and
Harris, Kim and
Marheinecke, Katrin and
Rehm, Georg and
Kayadelen, Tolga and
Attia, Mohammed and
Elkahky, Ali and
Yu, Zhuoran and
Pitler, Emily and
Lertpradit, Saran and
Mandl, Michael and
Kirchner, Jesse and
Alcalde, Hector Fernandez and
Strnadov{\'a}, Jana and
Banerjee, Esha and
Manurung, Ruli and
Stella, Antonio and
Shimada, Atsuko and
Kwak, Sookyoung and
Mendon{\c{c}}a, Gustavo and
Lando, Tatiana and
Nitisaroj, Rattima and
Li, Josie},
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/K17-3001",
doi = "10.18653/v1/K17-3001",
pages = "1--19",
abstract = "The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets. In 2017, the task was devoted to learning dependency parsers for a large number of languages, in a real-world setting without any gold-standard annotation on input. All test sets followed a unified annotation scheme, namely that of Universal Dependencies. In this paper, we define the task and evaluation methodology, describe how the data sets were prepared, report and analyze the main results, and provide a brief categorization of the different approaches of the participating systems.",
}
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%0 Conference Proceedings %T CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies %A Zeman, Daniel %A Popel, Martin %A Straka, Milan %A Hajič, Jan %A Nivre, Joakim %A Ginter, Filip %A Luotolahti, Juhani %A Pyysalo, Sampo %A Petrov, Slav %A Potthast, Martin %A Tyers, Francis %A Badmaeva, Elena %A Gokirmak, Memduh %A Nedoluzhko, Anna %A Cinková, Silvie %A Hajič jr., Jan %A Hlaváčová, Jaroslava %A Kettnerová, Václava %A Urešová, Zdeňka %A Kanerva, Jenna %A Ojala, Stina %A Missilä, Anna %A Manning, Christopher D. %A Schuster, Sebastian %A Reddy, Siva %A Taji, Dima %A Habash, Nizar %A Leung, Herman %A de Marneffe, Marie-Catherine %A Sanguinetti, Manuela %A Simi, Maria %A Kanayama, Hiroshi %A de Paiva, Valeria %A Droganova, Kira %A Martínez Alonso, Héctor %A Çöltekin, Çağrı %A Sulubacak, Umut %A Uszkoreit, Hans %A Macketanz, Vivien %A Burchardt, Aljoscha %A Harris, Kim %A Marheinecke, Katrin %A Rehm, Georg %A Kayadelen, Tolga %A Attia, Mohammed %A Elkahky, Ali %A Yu, Zhuoran %A Pitler, Emily %A Lertpradit, Saran %A Mandl, Michael %A Kirchner, Jesse %A Alcalde, Hector Fernandez %A Strnadová, Jana %A Banerjee, Esha %A Manurung, Ruli %A Stella, Antonio %A Shimada, Atsuko %A Kwak, Sookyoung %A Mendonça, Gustavo %A Lando, Tatiana %A Nitisaroj, Rattima %A Li, Josie %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 zeman-etal-2017-conll %X The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets. In 2017, the task was devoted to learning dependency parsers for a large number of languages, in a real-world setting without any gold-standard annotation on input. All test sets followed a unified annotation scheme, namely that of Universal Dependencies. In this paper, we define the task and evaluation methodology, describe how the data sets were prepared, report and analyze the main results, and provide a brief categorization of the different approaches of the participating systems. %R 10.18653/v1/K17-3001 %U https://aclanthology.org/K17-3001 %U https://doi.org/10.18653/v1/K17-3001 %P 1-19
Markdown (Informal)
[CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies](https://aclanthology.org/K17-3001) (Zeman et al., CoNLL 2017)
- CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies (Zeman et al., CoNLL 2017)
ACL
- Daniel Zeman, Martin Popel, Milan Straka, Jan Hajič, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajič jr., Jaroslava Hlaváčová, Václava Kettnerová, Zdeňka Urešová, et al.. 2017. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 1–19, Vancouver, Canada. Association for Computational Linguistics.