Papers by Alok Kumar

1 papers
Improved Near-Duplicate Detection for Aggregated and Paywalled News-Feeds (2025.naacl-industry)

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Challenge: News aggregators provide comprehensive and timely news stories that are sourced from diverse sources but differ in phrasing, formatting or supplemented with additional details.
Approach: They propose a method that combines embeddings from pretrained language model and latent metadata of a news article followed by community detection to identify clusters of near-duplicates.
Outcome: The proposed approach can detect nuanced similarities and differences in news snippets using pretrained language model and latent metadata of a news article followed by community detection.

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