Sentence Compression for Portuguese

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Asevedo Nóbrega, FA (Author) Other; Jorge, AM (Author) FCUP; Pavel Brazdil (Author) FEP; Pardo, TAS (Author) Other

Conference proceedings International

Title: Computational Processing of the Portuguese Language - 14th International Conference, PROPOR 2020, Evora, Portugal, March 2-4, 2020, Proceedings

Pages: 270-280

14th International Conference on Computational Processing of the Portuguese Language, PROPOR 2020

2 March 2020 through 4 March 2020

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00R-WV1

DOI: 10.1007/978-3-030-41505-1_26

Abstract (EN): The task of Sentence Compression aims at producing a shorter version of a given sentence. This task may assist many other applications, as Automatic Summarization and Text Simplification. In this paper, we investigate methods for Sentence Compression for Portuguese. We focus on machine learning-based algorithms and propose new strategies. We also create reference corpora/datasets for the area, allowing to train and to test the methods of interest. Our results show that some of our methods outperform previous initiatives for Portuguese and produce competitive results with a state of the art method in the area. © Springer Nature Switzerland AG 2020.

Language: English

Type (Professor's evaluation): Scientific