| 000 | 01604naa a2200265 a 4500 | ||
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| 003 | AR-LpUFIB | ||
| 005 | 20250311170459.0 | ||
| 008 | 230201s2017 xx o 000 0 eng d | ||
| 024 | 8 |
_aDIF-M8008 _b8224 _zDIF007311 |
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| 040 |
_aAR-LpUFIB _bspa _cAR-LpUFIB |
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| 100 | 1 | _aPuente, C. | |
| 245 | 1 | 0 | _aEvaluation of causal sentences in automated summaries |
| 300 | _a1 archivo (1,0 MB) | ||
| 500 | _aFormato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca) | ||
| 520 | _aThis paper presents an experiment to show the importance of causal sentences in summaries. Presumably, causal sentences hold relevant information and thus summaries should contain them. We perform an experiment to refute or validate this hypothesis. We have selected 28 medical documents to extract and analyze causal and conditional sentences from medical texts. Once retrieved, classic metrics are used to determine the relevance of the causal content among all the sentences in the document and, so, to evaluate if they are important enough to make a better summary. Finally, a comparison table to explore the results is showed and some conclusions are outlined. | ||
| 534 | _aIEEE International Conference on Fuzzy Systems (2017 : Nápoles, Italia) | ||
| 650 | 4 | _aSOFT COMPUTING | |
| 653 | _aresúmenes automáticos | ||
| 700 | 1 | _aVilla Monte, Augusto | |
| 700 | 1 | _aLanzarini, Laura Cristina | |
| 700 | 1 | _aSobrino, A. | |
| 700 | 1 | _aOlivas Varela, José Angel | |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1109/FUZZ-IEEE.2017.8015666 |
| 942 | _cCP | ||
| 999 |
_c57086 _d57086 |
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