Papers by Dhruv Mehra

1 papers
EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization (2023.emnlp-main)

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Challenge: Entity-centric summarization is a form of controllable summarizing that aims to generate a summary for a specific entity given a document.
Approach: They propose to use a more abstract version of the original entity-centric ENTSUM summarization dataset to generate a shorter annotated summary for downstream users.
Outcome: The proposed method is more abstract and uses supervised fine-tuning and large-scale instruction tuning to provide more specific and useful summaries for downstream users.

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