Papers by Priyanka Ravva

1 papers
TeSum: Human-Generated Abstractive Summarization Corpus for Telugu (2022.lrec-1)

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Challenge: a number of recent datasets for summarisation, scraped the web-content relying on the assumption that summary is made available with the article by the publishers.
Approach: They propose a pipeline that crowd-sources summarization data and then aggressively filters the content via: automatic and partial expert evaluation.
Outcome: The proposed pipeline can be applied to scraped datasets to extract better quality articles-summaries pairs.

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