Scientific Document Summarization
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Benchmarks
CL-SciSumm
Most implemented
Hierarchical Attention Graph for Scientific Document Summarization in Global and Local Level
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
LTRC @MuP 2022: Multi-Perspective Scientific Document Summarization Using Pre-trained Generation Models
Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP)
Papers
The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust
As language models improve and become increasingly deployed to solve a variety of tasks, trustworthiness becomes essential. Calibration is a good proxy for trust: well-calibrated confidence estimates help inform the risk…
Scientific Document SummarizationQuestion AnsweringCCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
To broaden the dissemination of scientific knowledge to diverse audiences, scientific document summarization must simultaneously control multiple attributes such as length and empirical focus. However, existing research …
Document SummarizationScientific Document SummarizationHierarchical Attention Graph for Scientific Document Summarization in Global and Local Level
Scientific document summarization has been a challenging task due to the long structure of the input text. The long input hinders the simultaneous effective modeling of both global high-order relations between sentences …
Document SummarizationExtractive SummarizationScientific Document SummarizationSentenceContrastive Hierarchical Discourse Graph for Scientific Document Summarization
The extended structural context has made scientific paper summarization a challenging task. This paper proposes CHANGES, a contrastive hierarchical graph neural network for extractive scientific paper summarization. CHAN…
Contrastive LearningDocument SummarizationGraph Neural NetworkScientific Document Summarization+1Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
Lay summarisation aims to jointly summarise and simplify a given text, thus making its content more comprehensible to non-experts. Automatic approaches for lay summarisation can provide significant value in broadening ac…
ArticlesLay SummarizationScientific Document SummarizationOverview of the Third Workshop on Scholarly Document Processing
With the ever-increasing pace of research and high volume of scholarly communication, scholars face a daunting task. Not only must they keep up with the growing literature in their own and related fields, scholars increa…
Document SummarizationGraph GenerationInformation RetrievalMulti-Document Summarization+2