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Context-Aware Latent Dirichlet Allocation for Topic Segmentation

We propose a new generative model for topic segmentation based on Latent Dirichlet Allocation. The task is to divide a document into a sequence of topically coherent segments, while preserving long topic change-points (coherency) and keeping short topic segments from getting merged (saliency). Most...

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Dades bibliogràfiques
Publicat a:Advances in Knowledge Discovery and Data Mining
Autors principals: Li, Wenbo, Matsukawa, Tetsu, Saigo, Hiroto, Suzuki, Einoshin
Format: Artigo
Idioma:Inglês
Publicat: 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7206242/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-47426-3_37
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