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ACL
2015

Unsupervised extractive summarization via coverage maximization with syntactic and semantic concepts

8 years 7 months ago
Unsupervised extractive summarization via coverage maximization with syntactic and semantic concepts
Coverage maximization with bigram concepts is a state-of-the-art approach to unsupervised extractive summarization. It has been argued that such concepts are adequate and, in contrast to more linguistic concepts such as named entities or syntactic dependencies, more robust, since they do not rely on automatic processing. In this paper, we show that while this seems to be the case for a commonly used newswire dataset, use of syntactic and semantic concepts leads to significant improvements in performance in other domains.
Natalie Schluter, Anders Søgaard
Added 13 Apr 2016
Updated 13 Apr 2016
Type Journal
Year 2015
Where ACL
Authors Natalie Schluter, Anders Søgaard
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