Detecting the Central Units of Brazilian Portuguese argumentative answer texts
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 te...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/70580 |
| Acceso en línea: | http://hdl.handle.net/10810/70580 |
| Access Level: | acceso abierto |
| Palabra clave: | central unit RST argumentative answer texts |
| Sumario: | 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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