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The Impact of Rule-Based Text Generation on the Quality of Abstractive Summaries
In this paper we describe how an abstractive text summarization method improved the informativeness of automatic summaries by integrating syntactic text simplification, subject-verb-object concept frequency scoring and a set of rules that transform text into its semantic representation.
Towards Adaptive Text Summarization: How Does Compression Rate Affect Summary Readability of L2 Texts?
We analyzed the generated summaries in terms of lexical, syntactic and length-based features of readability, and concluded that summary complexity depends on the compression rate, summarization technique and the nature of the summarized corpus.
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