EMNLP 2021main3 citations
A New Representation for Span-based CCG Parsing
Yoshihide Kato, Shigeki Matsubara
Abstract
This paper proposes a new representation for CCG derivations. CCG derivations are represented as trees whose nodes are labeled with categories strictly restricted by CCG rule schemata. This characteristic is not suitable for span-based parsing models because they predict node labels independently. In other words, span-based models may generate invalid CCG derivations that violate the rule schemata. Our proposed representation decomposes CCG derivations into several independent pieces and prevents the span-based parsing models from violating the schemata. Our experimental result shows that an off-the-shelf span-based parser with our representation is comparable with previous CCG parsers.
BibTeX
@inproceedings{kato-matsubara-2021-new,
title = "A New Representation for Span-based {CCG} Parsing",
author = "Kato, Yoshihide and
Matsubara, Shigeki",
editor = "Moens, Marie-Francine and
Huang, Xuanjing and
Specia, Lucia and
Yih, Scott Wen-tau",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2021",
address = "Online and Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-main.826/",
doi = "10.18653/v1/2021.emnlp-main.826",
pages = "10579--10584"
}