LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A8NDFGWZI" target="_blank" >RIV/00216208:11320/25:8NDFGWZI - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195890953&partnerID=40&md5=0b98a9ed129e0c4e4be4c415474991ae" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195890953&partnerID=40&md5=0b98a9ed129e0c4e4be4c415474991ae</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets

Original language description

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. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Jt. Int. Conf. Comput. Linguist., Lang. Resour. Eval., LREC-COLING - Main Conf. Proc.

ISBN

978-249381410-4

ISSN

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e-ISSN

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Number of pages

12

Pages from-to

10225-10236

Publisher name

European Language Resources Association (ELRA)

Place of publication

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Event location

Torino, Italia

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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