Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
| Autor: | Daniel Zeman, Gosse Bouma, Djamé Seddah |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Parsing business.industry Computer science parsing 02 engineering and technology universal dependencies computer.software_genre Task (project management) 03 medical and health sciences 030104 developmental biology 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing Universal dependencies |
| Zdroj: | STARTPAGE=151;ENDPAGE=161;TITLE=58th Annual Meeting of the Association for Computational Linguistics University of Groningen IWPT 2020 |
| Popis: | This overview introduces the task of parsing into enhanced universal dependencies, describes the datasets used for training and evaluation, and evaluation metrics. We outline various approaches and discuss the results of the shared task. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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