Papers with extractive summarizer

2 papers
TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary Generation (2022.naacl-main)

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Challenge: Existing methods for extractive and abstract summarization are limited to short abstracts . however, extended summaries provide detailed information beyond coarse information .
Approach: They propose an extractive summarization tool that utilizes the introductory information of documents as pointers to their salient information.
Outcome: The proposed extractive summarization improves on existing datasets with human-written summaries . the proposed summarizing improves in terms of cohesion and completeness compared to baselines and state-of-the-art .
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization (2023.findings-eacl)

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Challenge: a recent study shows that accessing medical literature is difficult for laypeople because it is written for specialists and contains medical jargon.
Approach: They propose a two-stage strategy to identify relevant content to be simplified . they first generate reference summaries via sentence matching between the original and simplified abstracts .
Outcome: The proposed approach improves on a seq2seq-based test set on an English medical corpus . it also improves the SARI score by 1.1% .

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