@article{mucha-etal-2026-multicos,
    title = "{M}ulti{C}o{S}: A Multilingual Dataset of Connective Semantics with Context{--}Sentence Compatibility",
    author = "Mucha, Anne  and
      Qing, Ciyang  and
      Uegaki, Wataru",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    journal = "International Conference on Language Resources and Evaluation",
    volume = "main",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.381/",
    pages = "4861--4871",
    abstract = "We present a multilingual dataset of connective semantics. The dataset contains the semantic annotations of clausal connectives (e.g. and and or in English) from 24 languages, based on our original native-speaker elicitation data. Unlike existing lexica on connectives, the dataset includes systematic evidence for the annotations in the form of context-sentence compatibility judgments, including negative evidence. The paper describes the methodology of data collection and the format of the dataset. We also discuss its potential use cases for the validation of cross-linguistic generalizations, examinations of their potential counterexamples, and for benchmarking felicity judgments by NLU systems."
}