2026· International Conference on Language Resources and Evaluation· pp. 11620-11630· 0 citations· 29 references
Computer Science
TL;DR
This study extends the UD framework by encoding 13 logical relations and finds that the fine-tuned Qwen-3-8B model achieves a UAS/LAS of 0.840/0.757, higher than the BERT-based parser and the general purpose LLMs.
Semantic representation-based multilingual natural language generation (NLG) is still a challenging problem in computational linguistics. In this paper, we present universal semantic representation (USR), a new semantic representation that provides semantics at multiple levels, including the speaker's intention and dis...
Negative polarity items (NPIs), such as"anymore"and"ever", are grammatical only in select environments, predominantly in the context of negation. Because their grammaticality depends on both syntax and semantics, they have a rich, multilingual literature in theoretical linguistics, yet work on NPIs in language models i...
Arzu Burcu Güven, Anna Rogers, Leonie Weissweiler et al.· 0 citations
We present edition 2.0 of the PARSEME multilingual corpus annotated for multiword expressions (MWEs), resulting from efforts of the PARSEME community towards universality-driven modeling of idiomaticity. With respect to previous editions, we extend the annotation scope to all syntactic MWE categories: verbal, nominal,...
Agata Savary, Manon Scholivet, C. Ramisch et al.· International Conference on...· 3 citations
A layer-wise analysis indicates that surface-level features such as temporality and negation are captured more reliably than deeper semantic phenomena like quantification in large language models, highlighting the limited capacity of current LLMs to generate fully formal meaning representations.
Rémi De Vergnette, Maxime Amblard· International Conference on...· 0 citations
English grammatical structure parsing is a core task in natural language processing, playing a crucial role in machine translation, information extraction, and other applications. This paper proposes an innovative model, TG-Parser, that combines a Transformer and a graph convolutional network (GCN). It significantly im...
Natural Language Inference (NLI) processes pairs of sentences to extract their semantic relations. NLI has been a hot research topic, integrated as a main component in other NLP applications, from morphological spelling correction tasks to higher-level tasks such as machine translation and information extraction. Despi...
