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Multi-document summarization of scientific corpora
2011
Proceedings of the 2011 ACM Symposium on Applied Computing - SAC '11
In this paper, we investigated four approaches for scientific corpora summarization when only gold-standard keyterms available. MEAD with built-in default vocabulary, MEAD with corpus specific vocabulary extracted by Keyphrase Extraction Algorithm (KEA), LexRank (a state-of-the-art summarization algorithm based on random walk) and W3SS (summarization algorithm based on keyword density) are tested on two Computer Science research paper collections. We use a content evaluation method, pyramid
doi:10.1145/1982185.1982243
dblp:conf/sac/YelogluMZ11
fatcat:zklj7gjueffdtgrgughbx34e54