CUHK at MRP 2019: Transition-Based Parser with Cross-Framework Variable-Arity Resolve Action

Sunny Lai, Chun Hei Lo, Kwong Sak Leung, Yee Leung


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.
Anthology ID:
K19-2010
Volume:
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
Month:
November
Year:
2019
Address:
Hong Kong
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
104–113
Language:
URL:
https://www.aclweb.org/anthology/K19-2010
DOI:
10.18653/v1/K19-2010
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PDF:
http://aclanthology.lst.uni-saarland.de/K19-2010.pdf
Attachment:
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