Question classification in the medical domain using convolutional neural networks and word embeddings
Question Answering Systems have become important due to the necessity to retrieveanswers from questions stated in Natural Language, without the need of queryingstructured data sources. One of the key steps of these systems is the question clas-sification process, where a label with the type of the e
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/125229 |
| Acceso en línea: | https://hdl.handle.net/2117/125229 |
| Access Level: | acceso abierto |
| Palabra clave: | Natural language processing (Computer science) Neural networks (Computer science) Question answering CNN embeddings Tractament del llenguatge natural (Informàtica) Xarxes neuronals (Informàtica) Àrees temàtiques de la UPC::Informàtica |
| Sumario: | Question Answering Systems have become important due to the necessity to retrieveanswers from questions stated in Natural Language, without the need of queryingstructured data sources. One of the key steps of these systems is the question clas-sification process, where a label with the type of the e |
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