Summarization based on bi-directional citation analysis
作者：
Highlights：
• We extend citation-based summarization techniques to use both cited and citing documents.
• Our method combines citation text with other elements of cited and citing documents, such as the full text and catchphrases.
• We investigate using citations to extract information from the target document.
• We apply these techniques on the domain of legal judgements, a new area for citations-based summarization.
• On a legal summarization corpus, our methods outperform competitive baselines.
摘要
•We extend citation-based summarization techniques to use both cited and citing documents.•Our method combines citation text with other elements of cited and citing documents, such as the full text and catchphrases.•We investigate using citations to extract information from the target document.•We apply these techniques on the domain of legal judgements, a new area for citations-based summarization.•On a legal summarization corpus, our methods outperform competitive baselines.
论文关键词：Natural language,Information extraction,Citations in information extraction,Summarization,Summarising legal documents
论文评审过程：Received 20 January 2014, Revised 3 August 2014, Accepted 18 August 2014, Available online 17 September 2014.
论文官网地址：https://doi.org/10.1016/j.ipm.2014.08.001
