This paper presents an approach to summarize single scientific papers, by extracting its contributions from the set of citation sentences written in other papers. Our methodology is based on extracting significant keyphrases from the set of citation sentences and using these keyphrases to build the summary. Comparisons show how this methodology excels at the task of single paper summarization, and how it out-performs other multi-document summarization methods.
Another approach based on submodularity REF is relying on extracting important keyphrases from citation sentences for a given paper and using them to build the summary.
Citation Summarization Through Keyphrase Extraction
COLING
Computer Science