Abstract
Aligning texts and their multi-document summaries is the task of determining the correspondences among textual segments in the texts and in their corresponding summaries. The study of alignments allows a better understanding of the multi-document summarization process, which may subsidize new summarization models for producing more informative summaries. In this paper, we investigate some approaches for text-summary sentence alignment, including superficial, deep and hybrid approaches. Our results show that superficial approaches may obtain very good results.
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Agostini, V., López Condori, R.E., Pardo, T.A.S. (2014). Automatic Alignment of News Texts and Their Multi-document Summaries: Comparison among Methods. 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_25
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DOI: https://doi.org/10.1007/978-3-319-09761-9_25
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