Papers by Muthu Kumar Chandrasekaran

2 papers
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings (2021.eacl-main)

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Challenge: a novel method for online news stream clustering is proposed . a user can scour the many news sources multiple times a day to find news articles .
Approach: They propose a method for online news stream clustering that is a variant of the streaming K-means algorithm.
Outcome: The proposed model achieves state-of-the-art on a standard stream clustering dataset of English documents.
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization (2022.findings-acl)

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Challenge: Existing methods for extracting multi-document news summarization neglect relative importance of documents.
Approach: They propose to concatenate all documents into a single meta-document and then summarize it using an SDS model.
Outcome: The proposed approach outperforms state-of-the-art methods with more complex architectures.

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