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- W2250355330 abstract "This paper introduces an unsupervised graph-based method that selects textual labels for automatically generated topics. Our approach uses the topic keywords to query a search engine and generate a graph from the words contained in the results. PageRank is then used to weigh the words in the graph and score the candidate labels. The state-of-the-art method for this task is supervised (Lau et al., 2011). Evaluation on a standard data set shows that the performance of our approach is consistently superior to previously reported methods." @default.
- W2250355330 created "2016-06-24" @default.
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- W2250355330 date "2014-01-01" @default.
- W2250355330 modified "2023-10-17" @default.
- W2250355330 title "Labelling Topics using Unsupervised Graph-based Methods" @default.
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- W2250355330 doi "https://doi.org/10.3115/v1/p14-2103" @default.
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