@inproceedings{blessing-etal-2026-apodictus,
title = "{APODICTUS}: Automatic Processing of {DICT}ionary Update candidate{S}",
author = "Blessing, Felix and
Sax, Johannes S. and
Kaufmann, Julian and
Zhao, Wei and
Arefyev, Nikolay and
Schlechtweg, Dominik",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.924/",
doi = "10.63317/3rtgegtzmpmv",
pages = "11800--11812",
abstract = "Dictionaries have to be regularly updated. Some dictionary-makers gather proposals for updates of sense entries in internal databases. We automate the process of verifying and prioritizing such sense proposals, and facilitate their addition to a dictionary, by building a sophisticated processing pipeline relying on state-of-the-art language models. Our pipeline presents the first systematic, large-scale, and comprehensive solution for processing candidates for inclusion in a dictionary, which is tested in an industry-relevant context. We conduct several experiments to evaluate the pipeline and provide an annotated dataset for future work. Model performance is acceptable for words which are not yet in the dictionary, but low for in-dictionary words. Through an error analysis and model component ablation, we gain further insight on directions of future model improvements."
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<abstract>Dictionaries have to be regularly updated. Some dictionary-makers gather proposals for updates of sense entries in internal databases. We automate the process of verifying and prioritizing such sense proposals, and facilitate their addition to a dictionary, by building a sophisticated processing pipeline relying on state-of-the-art language models. Our pipeline presents the first systematic, large-scale, and comprehensive solution for processing candidates for inclusion in a dictionary, which is tested in an industry-relevant context. We conduct several experiments to evaluate the pipeline and provide an annotated dataset for future work. Model performance is acceptable for words which are not yet in the dictionary, but low for in-dictionary words. Through an error analysis and model component ablation, we gain further insight on directions of future model improvements.</abstract>
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%0 Conference Proceedings
%T APODICTUS: Automatic Processing of DICTionary Update candidateS
%A Blessing, Felix
%A Sax, Johannes S.
%A Kaufmann, Julian
%A Zhao, Wei
%A Arefyev, Nikolay
%A Schlechtweg, Dominik
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F blessing-etal-2026-apodictus
%X Dictionaries have to be regularly updated. Some dictionary-makers gather proposals for updates of sense entries in internal databases. We automate the process of verifying and prioritizing such sense proposals, and facilitate their addition to a dictionary, by building a sophisticated processing pipeline relying on state-of-the-art language models. Our pipeline presents the first systematic, large-scale, and comprehensive solution for processing candidates for inclusion in a dictionary, which is tested in an industry-relevant context. We conduct several experiments to evaluate the pipeline and provide an annotated dataset for future work. Model performance is acceptable for words which are not yet in the dictionary, but low for in-dictionary words. Through an error analysis and model component ablation, we gain further insight on directions of future model improvements.
%R 10.63317/3rtgegtzmpmv
%U https://aclanthology.org/2026.lrec-1.924/
%U https://doi.org/10.63317/3rtgegtzmpmv
%P 11800-11812
Markdown (Informal)
[APODICTUS: Automatic Processing of DICTionary Update candidateS](https://aclanthology.org/2026.lrec-1.924/) (Blessing et al., LREC 2026)
ACL
- Felix Blessing, Johannes S. Sax, Julian Kaufmann, Wei Zhao, Nikolay Arefyev, and Dominik Schlechtweg. 2026. APODICTUS: Automatic Processing of DICTionary Update candidateS. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 11800–11812, Palma de Mallorca, Spain. ELRA Language Resource Association.