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Findings of the Association for Computational Linguistics: ACL 2023

Rogers, Anna [ed.]; Boyd-Graber, Jordan [ed.]; Okazaki, Naoaki [ed.]

English Conference proceedings (Book) Scientific

Published: ACL, Stroudsburg (PA), United States of America 2023

Conference: 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 2023-07-09 [Toronto, Canada]

Series: Proceedings of the Annual Meeting of the Association for Computational Linguistics 0736-587X

Identifiers

MTMT: 34494697
Kiadónál: https://aclanthology.org/volumes/2023.findings-acl/
ISBN: 9781959429623

Chapters

Hao H. et al. Rethinking Translation Memory Augmented Neural Machine Translation. (2023) In: Findings of the Association for Computational Linguistics: ACL 2023 pp. 2589-2605
He X. et al. AnaMeta: a Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks. (2023) In: Findings of the Association for Computational Linguistics: ACL 2023 pp. 9471-9492
Mu Y. et al. Augmenting Large Language Model Translators via Translation Memories. (2023) In: Findings of the Association for Computational Linguistics: ACL 2023 pp. 10287-10299
Magnusson I. et al. Reproducibility in NLP: What Have We Learned from the Checklist?. (2023) In: Findings of the Association for Computational Linguistics: ACL 2023 pp. 12789-12811
Huang J. et al. Transcribing Vocal Communications of Domestic Shiba lnu Dogs. (2023) In: Findings of the Association for Computational Linguistics: ACL 2023 pp. 13819-13832
Berend Gábor. Masked Latent Semantic Modeling: an Efficient Pre-training Alternative to Masked Language Modeling. (2023) In: Findings of the Association for Computational Linguistics: ACL 2023 pp. 13949-13962

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2025-04-25 03:20

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