LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets

Aditya Bhargava, Timothy A. D. Fowler, Gerald Penn

Abstract
In syntactic parsing, *proof nets* are graphical structures that have the advantageous property of invariance to spurious ambiguities. Semantically-equivalent derivations correspond to a single proof net. Recent years have seen fresh interest in statistical syntactic parsing with proof nets, including the development of methods based on neural networks. However, training of statistical parsers requires corpora that provide ground-truth syntactic analyses. Unfortunately, there has been a paucity of corpora in formalisms for which proof nets are applicable, such as Lambek categorial grammar (LCG), a formalism related to combinatory categorial grammar (CCG). To address this, we leverage CCGbank and the relationship between LCG and CCG to develop LCGbank, an English-language corpus of syntactic analyses based on LCG proof nets. In contrast to CCGbank, LCGbank eschews type-changing and uses only categorial rules; the syntactic analyses thus provide fully compositional semantics, exploiting the transparency between syntax and semantics that so characterizes categorial grammars.
Anthology ID:
2024.lrec-main.893
Volume:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Venues:
LREC | COLING
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
10225–10236
Language:
URL:
https://aclanthology.org/2024.lrec-main.893
DOI:
Bibkey:
Cite (ACL):
Aditya Bhargava, Timothy A. D. Fowler, and Gerald Penn. 2024. LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 10225–10236, Torino, Italia. ELRA and ICCL.
Cite (Informal):
LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets (Bhargava et al., LREC-COLING 2024)
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https://preview.aclanthology.org/naacl-24-ws-corrections/2024.lrec-main.893.pdf
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