LEXRANK GRAPH-BASED LEXICAL CENTRALITY AS SALIENCE IN TEXT SUMMARIZATION PDF

We test the technique on the problem of Text Summarization TS. Extractive TS relies on the concept of sentence salience to identify the most important sentences in a document or set of documents. Salience is typically defined in terms of the presence of particular important words or in terms of similarity to a centroid pseudo-sentence. We consider a new approach, LexRank, for computing sentence importance based on the concept of eigenvector centrality in a graph representation of sentences.

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論文翻訳: LexRank: Graph-based Lexical Centrality as Salience in Text Summarization

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