From Raw Text to Enhanced Universal Dependencies: the Parsing Shared Task at IWPT 2021

被引：0
|
作者：
Bouma, Gosse [1 ]
Seddah, Djame [2 ]
Zeman, Daniel [3 ]
机构：
[1] Univ Groningen, Ctr Language & Cognit, Groningen, Netherlands
[2] INRIA Paris, Paris, France
[3] Charles Univ Prague, UFAL, Fac Math & Phys, Prague, Czech Republic
来源：
IWPT 2021: THE 17TH INTERNATIONAL CONFERENCE ON PARSING TECHNOLOGIES: PROCEEDINGS OF THE CONFERENCE (INCLUDING THE IWPT 2021 SHARED TASK) | 2021年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We describe the second IWPT task on end-to-end parsing from raw text to Enhanced Universal Dependencies. We provide details about the evaluation metrics and the datasets used for training and evaluation. We compare the approaches taken by participating teams and discuss the results of the shared task, also in comparison with the first edition of this task.
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页码：146 / 157
页数：12
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