… of multi-genre Malay news published between year of … leading sentence approach is applied
in the TextRank with TFIDF and Word2Vec as language models to perform salient sentence …

… outperforms TEXTRANK across sentence representations, directly confirming our assumption
that position information is beneficial for determining sentence centrality in news single-…

… TextRank employs the … into sentence vectors as the first stage in the TextRank algorithm.
The next step is to create a similarity matrix, where each entry (i, j) shows how similar sentences …

… the SwiftRank sentence extraction technique on a single document summarization task
comparing with TextRank graph-based summarization technique, using the same set of news …

… Using these three graphs, the sentences and words are ranked and the top most sentences
… We also compare our approach TOP-Rank with other baselines techniques like TextRank …

… all canY didate Neywords or sentences and then seY lect the … algorithm for Neyword and
sentence extraction from text. The … art methods for Neyword and sentence extraction shows that …

… show that TextRank consistently outperforms LSA across all news … sentence ranking method
in this study adopts the TextRank … an undirected graph, where sentences act as nodes and …

… of the leading sentences frequently outperforms extractive and abstractive models on news
… we can apply the original TextRank algorithm on the entire set of sentences from the source(…

… the PageRank model to rank the sentences [17,42,43]. This method allows TextRank to
determine the importance of each sentence in the text, leading to an effective text summarization …

… of news reportage from Democrat and Republican media’s interpretations of the US presidential
debates from 1980 to 2016. We use the collected news … TextRank in focused sentence …