Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7403
Title: | CUHK at MRP 2019: Transition-based parser with cross-framework variable-arity resolve action |
Authors: | Lai, Sunny Lo, Chun Hei Prof. LEUNG Kwong Sak Leung, Yee |
Issue Date: | 2019 |
Publisher: | Association for Computational Linguistics |
Source: | CoNLL 2019 - SIGNLL Conference on Computational Natural Language Learning, Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 2020, pp. 104-113 |
Conference: | CoNLL 2019 - SIGNLL Conference on Computational Natural Language Learning, Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning |
Abstract: | This paper describes our system (RESOLVER) submitted to the CoNLL 2019 shared task on Cross-Framework Meaning Representation Parsing (MRP). Our system implements a transition-based parser with a directed acyclic graph (DAG) to tree preprocessor and a novel cross-framework variable-arity resolve action that generalizes over five different representations. Although we ranked low in the competition, we have shown the current limitations and potentials of including variable-arity action in MRP and concluded with directions for improvements in the future. |
Type: | Conference Paper |
URI: | https://aclanthology.org/K19-2010 http://hdl.handle.net/20.500.11861/7403 |
ISBN: | 978-195073760-4 |
DOI: | 10.18653/v1/K19-2010 |
Appears in Collections: | Publication |
Find@HKSYU Show full item record
SCOPUSTM
Citations
6
checked on Jan 3, 2024
Page view(s)
30
checked on Jan 3, 2024
Google ScholarTM
Impact Indices
Altmetric
PlumX
Metrics
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.