@inproceedings{thielen-kugler-2026-amdi,
title = "{A}m{D}i - Ambiguous Words Diachronic Dataset",
author = "Thielen, Felix and
Kugler, Kai",
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-1.934/",
doi = "10.63317/46xmhmibv9hz",
pages = "11926--11941",
abstract = "Two fundamental tasks in computational linguistics are Lexical Semantic Change Detection and Word Sense Disambiguation. Both commonly rely on large annotated datasets. Most available datasets cover only one of two areas: diachronic corpora used for Semantic Change Detection, or synchronic datasets for Word Sense Disambiguation. To address this gap, the AmDi dataset is introduced as a German-language resource that supports a more fine-grained diachronic analysis of word meanings, while also enabling the investigation of embeddings generated with corresponding models, as well as providing a foundation for Word Sense Disambiguation tasks."
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<abstract>Two fundamental tasks in computational linguistics are Lexical Semantic Change Detection and Word Sense Disambiguation. Both commonly rely on large annotated datasets. Most available datasets cover only one of two areas: diachronic corpora used for Semantic Change Detection, or synchronic datasets for Word Sense Disambiguation. To address this gap, the AmDi dataset is introduced as a German-language resource that supports a more fine-grained diachronic analysis of word meanings, while also enabling the investigation of embeddings generated with corresponding models, as well as providing a foundation for Word Sense Disambiguation tasks.</abstract>
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%0 Conference Proceedings
%T AmDi - Ambiguous Words Diachronic Dataset
%A Thielen, Felix
%A Kugler, Kai
%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 thielen-kugler-2026-amdi
%X Two fundamental tasks in computational linguistics are Lexical Semantic Change Detection and Word Sense Disambiguation. Both commonly rely on large annotated datasets. Most available datasets cover only one of two areas: diachronic corpora used for Semantic Change Detection, or synchronic datasets for Word Sense Disambiguation. To address this gap, the AmDi dataset is introduced as a German-language resource that supports a more fine-grained diachronic analysis of word meanings, while also enabling the investigation of embeddings generated with corresponding models, as well as providing a foundation for Word Sense Disambiguation tasks.
%R 10.63317/46xmhmibv9hz
%U https://aclanthology.org/2026.lrec-1.934/
%U https://doi.org/10.63317/46xmhmibv9hz
%P 11926-11941
Markdown (Informal)
[AmDi - Ambiguous Words Diachronic Dataset](https://aclanthology.org/2026.lrec-1.934/) (Thielen & Kugler, LREC 2026)
ACL
- Felix Thielen and Kai Kugler. 2026. AmDi - Ambiguous Words Diachronic Dataset. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 11926–11941, Palma de Mallorca, Spain. ELRA Language Resource Association.