Papers by Raghvendra Verma

1 papers
Large Scale Multi-Lingual Multi-Modal Summarization Dataset (2023.eacl-main)

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Challenge: a large dataset of document-image pairs and annotated multi-modal summarization data is needed for multi-lingual modeling . encoder-decoder models represent information comprising multiple modalities.
Approach: They propose to use a multi-lingual summarization dataset to analyze multi-modal summarizing using multi-linguistic annotated data.
Outcome: The proposed dataset is the largest multi-lingual multi-modal summarization dataset for 13 languages and consists of cross-lingual summarizing data for 2 languages.

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