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: | Applied Data Science - Publication |
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