Papers with question classification model

2 papers
DynRank: Improve Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification (2025.coling-main)

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Challenge: Existing approaches to enhancing passage retrieval rely on static prompts and pre-defined templates.
Approach: They propose a dynamic question classification framework for open-domain question-answering systems that generates contextually relevant prompts.
Outcome: The proposed framework improves passage retrieval in open-domain questionanswering systems by generating contextually relevant prompts.
MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi (L18-1)

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Challenge: Existing work on multi-domain, multi-lingual question answering is limited to the same language.
Approach: They curate 500 articles in six different domains from the web and create question-answer pairs . they develop a deep learning based model for classifying an input question into coarse and finer categories .
Outcome: The proposed model accuracies 90.12% and 80.30% for coarse and finer classes . the proposed model is the first attempt to create multi-domain, multi-lingual question answering evaluation involving English and Hindi.

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