Abstract
This paper presents an empirical investigation of sentence position relevance in a corpus of news texts for generating abstractive multi-document summaries. Differently from previous work, we propose to use text-summary alignment information to compute sentence relevance.
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Nóbrega, F.A.A., Agostini, V., Camargo, R.T., Di Felippo, A., Pardo, T.A.S. (2014). Alignment-Based Sentence Position Policy in a News Corpus for Multi-document Summarization. In: Baptista, J., Mamede, N., Candeias, S., Paraboni, I., Pardo, T.A.S., Volpe Nunes, M.d.G. (eds) Computational Processing of the Portuguese Language. PROPOR 2014. Lecture Notes in Computer Science(), vol 8775. Springer, Cham. https://doi.org/10.1007/978-3-319-09761-9_34
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DOI: https://doi.org/10.1007/978-3-319-09761-9_34
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09760-2
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