Automatic Text Summarization with a Reduced Vocabulary Using Continuous Space Vectors

Abstract : In this paper, we propose a new method that uses continuous vectors to map words to a reduced vocabulary, in the context of Automatic Text Summarization (ATS). This method is evaluated on the MultiLing corpus by the ROUGE evaluation measures with four ATS systems. Our experiments show that the reduced vocabulary improves the performance of state-of-the-art systems.
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https://hal.archives-ouvertes.fr/hal-01779440
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Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares. Automatic Text Summarization with a Reduced Vocabulary Using Continuous Space Vectors. 21st International Conference on Applications of Natural Language to Information Systems (NLDB), 2016, Salford, United Kingdom. pp.440-446, ⟨10.1007/978-3-319-41754-7_46⟩. ⟨hal-01779440⟩

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