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- W2016692778 abstract "A network of concepts is built from Wikipedia documents using a random walk approach to compute distances between documents. Three algorithms for distance computation are considered: hitting/commute time, personalized page rank, and truncated visiting probability. In parallel, four types of weighted links in the document network are considered: actual hyperlinks, lexical similarity, common category membership, and common template use. The resulting network is used to solve three benchmark semantic tasks - word similarity, paraphrase detection between sentences, and document similarity - by mapping pairs of data to the network, and then computing a distance between these representations. The model reaches state-of-the-art performance on each task, showing that the constructed network is a general, valuable resource for semantic similarity judgments." @default.
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- W2016692778 date "2010-09-01" @default.
- W2016692778 modified "2023-10-01" @default.
- W2016692778 title "A Random Walk Framework to Compute Textual Semantic Similarity: A Unified Model for Three Benchmark Tasks" @default.
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- W2016692778 doi "https://doi.org/10.1109/icsc.2010.44" @default.
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