2026· International Conference on Language Resources and Evaluation· pp. 10009-10019· 1 citation· 18 references
Computer Science
TL;DR
Findings highlight the complementary nature of WiC and WSD and demonstrate that unified training strategies can yield more robust and generalizable sense disambiguation models, and provide practical guidance for designing datasets and models in multilingual and low-resource contexts.
It is found that providing candidate senses, similar to what is done in traditional WSD, improves WiC performance in all settings and helps models make more consistent and targeted judgements.
Yi Zhou, Kiamehr Rezaee, Danushka Bollegala et al.· 0 citations
A robust WSD model that integrates a bidirectional long shortterm memory network (BiLSTM) with an attention mechanism, specifically designed for Chinese patent texts is proposed, providing reliable support for knowledge mining and intelligent text processing in technical domains.
L.-X. Gao, T. Dong, M.-H. Yang· Advanced Electromagnetics· 0 citations
Fragment-Shot Prompting is introduced, a novel few-shot prompting method that aims to retrieve examples for every word occurring in the sentence to be translated, illustrating their use and meaning in context.
Samuel Frontull, Thomas Ströhle· International Conference on...· 0 citations
The results show that hybrid ensemble methods can improve token-level accuracy in low-resource POS tagging, while also revealing a trade-off between frequent-tag accuracy and rare-tag robustness.
Abdelouahed Moussaoui, Nor-Eddine Azalmad, Said Bahassine et al.· Information· 0 citations
A PMI-based translation metric is proposed, which is less dependent on the target language and correlates strongly with chrF, and finds that CLA with English predicts translation quality comparably to or better than source-target CLA.
Adnan Al Ali, Kathy Hämmerl, Jindrich Libovický et al.· 0 citations
This paper proposes automated methods to construct high-quality WordNets using large language models (LLMs) to generate missing lemmas to address the synset shortfall in non-English and low-resource languages.
Johann Bergh, J. Waitelonis, Melanie Siegel· 0 citations
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