Analyzing Sentence Fusion in Abstractive Summarization

ROUGE-1 scores are improved using our proposed three approaches for blending sentence importance weights: for concept extraction, selecting the candidate summary sentences,

: Generate the summary for every original document, then summarize these summaries using some extractive MDS method instead of SinABS to get the final sum- mary.. The extractive

Sentence fusion first identifies themes (clusters of similar sentences) from the source documents and selects which themes are important for the summary (a pro- cess similar to

From the graph in Fig 3,it is seen that two methods in Tamil and Kannada method 1 select the first sentence as the highest scored one among the sentences taken to the summary,