allenai/mup
收藏Hugging Face2022-10-25 更新2024-03-04 收录
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---
license:
- odc-by
---
# MuP - Multi Perspective Scientific Document Summarization
Generating summaries of scientific documents is known to be a challenging task. Majority of existing work in summarization assumes only one single best gold summary for each given document. Having only one gold summary negatively impacts our ability to evaluate the quality of summarization systems as writing summaries is a subjective activity. At the same time, annotating multiple gold summaries for scientific documents can be extremely expensive as it requires domain experts to read and understand long scientific documents. This shared task will enable exploring methods for generating multi-perspective summaries. We introduce a novel summarization corpus, leveraging data from scientific peer reviews to capture diverse perspectives from the reader's point of view.
提供机构：
allenai
原始信息汇总
MuP - Multi Perspective Scientific Document Summarization
数据集概述
- 目的: 探索生成多视角科学文档摘要的方法。
- 挑战: 传统的摘要生成通常只假设一个最佳黄金摘要，这限制了摘要系统质量评估的多样性和准确性。
- 创新点: 引入了一个新的摘要语料库，利用科学同行评审数据来捕捉读者视角的多样性。
数据集特点
- 数据来源: 科学同行评审。
- 数据用途: 用于研究和开发多视角科学文档摘要系统。
许可证
- 许可证类型: odc-by
