Papers by Anastasiia Tatlubaeva

    1 papers
    What Are the Implications of Your Question? Non-Information Seeking Question-Type Identification in CNN Transcripts (2024.lrec-main)

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    Challenge: Non-information seeking questions capture subtle dynamics of human discourse . authors use dataset of over 1,500 information-seeking questions and NISQs as benchmark .
    Approach: They use a dataset of over 1,500 information-seeking question(ISQ) and NISQ to evaluate human and machine performance on classifying fine-grained NISq types.
    Outcome: The proposed corpus is the first publicly available for annotation of non-information seeking questions . it evaluates human and machine performance on classifying fine-grained questions based on models .

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