@inproceedings{lee-etal-2026-adverbs,
title = "Adverbs Revisited: Enhancing {W}ord{N}et Coverage of Adverbs with a Supersense Taxonomy",
author = "Lee, Jooyoung and
de S{\'a}, Jader Martins Camboim and
Pruski, Cedric",
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-1.382/",
doi = "10.63317/3usz5zfjpmqu",
pages = "4872--4880",
abstract = "WordNet offers rich supersense hierarchies for nouns and verbs, yet adverbs remain underdeveloped, lacking a systematic semantic classification. We introduce a linguistically grounded supersense typology for adverbs, empirically validated through annotation, that captures major semantic domains including manner, temporal, frequency, degree, domain, speaker-oriented, and subject-oriented functions. Results from a pilot annotation study demonstrate that these categories provide broad coverage of adverbs in natural text and can be reliably assigned by human annotators. Incorporating this typology extends WordNet{'}s coverage, aligns it more closely with linguistic theory, and facilitates downstream NLP applications such as word sense disambiguation, event extraction, sentiment analysis, and discourse modeling. We present the proposed supersense categories, annotation outcomes, and directions for future work."
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%0 Conference Proceedings
%T Adverbs Revisited: Enhancing WordNet Coverage of Adverbs with a Supersense Taxonomy
%A Lee, Jooyoung
%A de Sá, Jader Martins Camboim
%A Pruski, Cedric
%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 lee-etal-2026-adverbs
%X WordNet offers rich supersense hierarchies for nouns and verbs, yet adverbs remain underdeveloped, lacking a systematic semantic classification. We introduce a linguistically grounded supersense typology for adverbs, empirically validated through annotation, that captures major semantic domains including manner, temporal, frequency, degree, domain, speaker-oriented, and subject-oriented functions. Results from a pilot annotation study demonstrate that these categories provide broad coverage of adverbs in natural text and can be reliably assigned by human annotators. Incorporating this typology extends WordNet’s coverage, aligns it more closely with linguistic theory, and facilitates downstream NLP applications such as word sense disambiguation, event extraction, sentiment analysis, and discourse modeling. We present the proposed supersense categories, annotation outcomes, and directions for future work.
%R 10.63317/3usz5zfjpmqu
%U https://aclanthology.org/2026.lrec-1.382/
%U https://doi.org/10.63317/3usz5zfjpmqu
%P 4872-4880
Markdown (Informal)
[Adverbs Revisited: Enhancing WordNet Coverage of Adverbs with a Supersense Taxonomy](https://aclanthology.org/2026.lrec-1.382/) (Lee et al., LREC 2026)
ACL