Detecting the Central Units of Brazilian Portuguese argumentative answer texts

Kepa Bengoetxea, Mikel Iruskieta, Juliano Antonio


Understanding or writing properly the main idea or the Central Unit (CU) of a text is a very important task in exams. So, detecting automatically the CU may be of interest in language evaluation tasks. This paper presents a CU detector based on machine learning techniques for argumentative answer texts in Brazilian Portuguese. Results show that the detection of CUs following machine learning techniques in argumentative answer texts is better that those using rules.

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