Papers by Rashid Nizamani

    1 papers
    SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives (2024.lrec-main)

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    Challenge: scalar implicatures are a phenomenon by which a speaker conveys the negation of a more informative utterance by producing a less informative .
    Approach: They propose to use a dataset to investigate the ability of language models to interpret utterances with scalar implicatures.
    Outcome: The proposed models perform significantly worse on in-domain and out-of-domain examples than other types of NLI examples.

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