Timothy A. D. Fowler


2024

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LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets
Aditya Bhargava | Timothy A. D. Fowler | Gerald Penn
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

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.

2011

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Book Review: Categorial Grammar: Logical Syntax, Semantics, and Processing by Glyn V. Morrill
Timothy A. D. Fowler
Computational Linguistics, Volume 37, Issue 2 - June 2011

2010

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Accurate Context-Free Parsing with Combinatory Categorial Grammar
Timothy A. D. Fowler | Gerald Penn
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

2008

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Efficiently Parsing with the Product-Free Lambek Calculus
Timothy A. D. Fowler
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)