Papers by Yash Verma

2 papers
MAKED: Multi-lingual Automatic Keyword Extraction Dataset (2022.lrec-1)

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Challenge: a large dataset of news articles spanning 20 languages is lacking for keyword extraction.
Approach: They propose a large-scale multi-lingual keyword extraction dataset for 11 of 20 languages . authors believe it will help advance the field of automatic keyword extraction .
Outcome: The proposed dataset is the first for 11 of 20 languages and is based on 540K+ news articles from the BBC News network.
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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