MultiCoS: A Multilingual Dataset of Connective Semantics with Context-Sentence Compatibility

PARSEME 2.0 Multilingual Corpus of Multiword Expressions

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,...

A transfer grammar for mapping USR to MRS: Toward multilingual generation

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...

Bridges Between Words and Senses

The proposed k-Multilingual Concept model allows to uncover novel layers of lexical knowledge in the form of multifaceted conceptual links between naturally disambiguated sets of words.

Entailment, CONtradition and Neutral (E-CONAN) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets

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...

NIL-UCM at MER-TRANS 2026: Integrating Linguistic Knowledge into Prompting Strategies for Spanish Text Simplification

Of Words and Meaning: A Grammatical and Semantic Benchmark for Faroese LLM Understanding

Evaluating language technology for low-resource languages faces a fundamental challenge: the scarcity of native benchmarks suitable for systematic assessment. For Faroese, no such evaluation frameworks exist. We address this gap by presenting the first benchmark suite for Faroese semantic understanding and grammatical...