Blending Sentence Optimization Weights of Unsupervised Approaches for Extractive Speech Summarization
This paper evaluates the performance of two unsupervised approaches, Maximum Marginal Relevance (MMR) and concept-based global optimization framework for speech summarization. Automatic summarization is very useful techniques that can help the users browse a large amount of data. This study focuses...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
2015
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Subjects: | |
Online Access: | View Fulltext in Publisher |