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- W2000348429 abstract "We introduce the relative rank differential statistic which is a non-parametric approach to document and dialog analysis based on word frequency rank-statistics. We also present a simple method to establish semantic saliency in dialog, documents, and dialog segments using these word frequency rank statistics. Applications of our technique include the dynamic tracking of topic and semantic evolution in a dialog, topic detection, automatic generation of document tags, and new story or event detection in conversational speech and text. Our approach benefits from the robustness, simplicity and efficiency of non-parametric and rank based approaches and consistently outperformed term-frequency and TF-IDF cosine distance approaches in several experiments conducted." @default.
- W2000348429 created "2016-06-24" @default.
- W2000348429 creator A5022219714 @default.
- W2000348429 date "2008-01-01" @default.
- W2000348429 modified "2023-10-15" @default.
- W2000348429 title "Relative rank statistics for dialog analysis" @default.
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- W2000348429 doi "https://doi.org/10.3115/1613715.1613840" @default.
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