For this we considered training costs and inference efficiency. Our models are a combination of distilled neural dependency parsers and a rule-based system that ...

For this we considered training costs and inference efficiency. Our models are a combination of distilled neural dependency parsers and a rule- ...

Abstract This paper introduces an efficient analyser for the Chinese ... [Show full abstract] language, which efficiently and effectively integrates word ...

For this we considered training costs and inference efficiency. Our models are a combination of distilled neural dependency parsers and a rule-based system that ...

Request PDF | On Jan 1, 2020, Mathieu Dehouck and others published Efficient EUD Parsing | Find, read and cite all the research you need on ResearchGate.

Papertalk is an open-source platform where scientists share video presentations about their newest scientific results - and watch, like + discuss them.

We present the system submission from the FASTPARSE team for the EUD SharedTask at IWPT 2020. We engaged with the task by focusing on efficiency.

We engaged with the task by focusing on efficiency. For this we considered training costs and inference efficiency. Our models are a combination of distilled ...

Efficient EUD Parsing. Author. Dehouck, Mathieu and Anderson, Mark and Gómez-Rodr\'\Iguez, Carlos. Conference. Proceedings of the 16th International Conference ...

The goal of this task is to parse raw texts in 17 languages into Enhanced Universal Dependencies (EUD). The proposed approach uses COMBO to predict UD trees and ...