Behr at EvaLatin 2024: Latin Dependency Parsing Using Historical Sentence Embeddings

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3ADLBSJT6M" target="_blank" >RIV/00216208:11320/25:DLBSJT6M - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195176114&partnerID=40&md5=69c3c78bc426f034eba61d968b40f787" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195176114&partnerID=40&md5=69c3c78bc426f034eba61d968b40f787</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Behr at EvaLatin 2024: Latin Dependency Parsing Using Historical Sentence Embeddings

Original language description

This paper identifies the system used for my submission to EvaLatin’s shared dependency parsing task as part of the LT4HALA 2024 workshop. EvaLatin presented new Latin prose and poetry dependency test data from potentially different time periods, and imposed no restriction on training data or model selection for the task. This paper, therefore, sought to build a general Latin dependency parser that would perform accurately regardless of the Latin age to which the test data belongs. To train a general parser, all of the available Universal Dependencies treebanks were used, but in order to address the changes in the Latin language over time, this paper introduces historical sentence embeddings. A model was trained to encode sentences of the same Latin age into vectors of high cosine similarity, which are referred to as historical sentence embeddings. The system introduces these historical sentence embeddings into a biaffine dependency parser with the hopes of enabling training across the Latin treebanks in a more efficacious manner, but their inclusion shows no improvement over the base model. © 2024 ELRA Language Resources 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

Workshop Lang. Technol. Hist. Anc. Lang., LT4HALA LREC-COLING - Workshop Proc.

ISBN

978-249381446-3

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

198-202

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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