seantrott/sawc

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The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at bc6dd13
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Citation text from the card

@inproceedings{riviere-etal-2025-evaluating,
    title = "Evaluating Contextualized Representations of ({S}panish) Ambiguous Words: A New Lexical Resource and Empirical Analysis",
    author = "Riviere, Pamela D  and
      Beatty-Mart{\'i}nez, Anne L.  and
      Trott, Sean",
    editor = "Chiruzzo, Luis  and
      Ritter, Alan  and
      Wang, Lu",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.naacl-long.422/",
    pages = "8322--8338",
    ISBN = "979-8-89176-189-6",
    abstract = "Lexical ambiguity{---}where a single wordform takes on distinct, context-dependent meanings{--}serves as a useful tool to compare across different language models' (LMs') ability to form distinct, contextualized representations of the same stimulus. Few studies have systematically compared LMs' contextualized word embeddings for languages beyond English. Here, we evaluate semantic representations of Spanish ambiguous nouns in context in a suite of Spanish-language monolingual and multilingual BERT-based models. We develop a novel dataset of minimal-pair sentences evoking the same or different sense for a target ambiguous noun. In a pre-registered study, we collect contextua

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dataset_licence({ "id": "seantrott/sawc" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0