| Revue: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000368140 |
| ISSN: | 1870-9044 |
| Autores: | Tomás, David1 Vicedo, José L1 Bisbal, Empar2 Moreno, Lidia2 |
| Instituciones: | 1Universidad de Alicante, Departamento de Software y Sistemas Computacionales, Alicante. España 2Universidad Técnica de Valencia, Departamento de Sistemas de Información y Computación, Valencia. España |
| Año: | 2009 |
| Periodo: | Jul-Dic |
| Número: | 40 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | This paper describes the development of an English corpus of factoid TREC–like question–answer pairs. The corpus obtained consists of more than 70,000 samples, containing each one the following information: a question, its question type, an exact answer to the question, the different contexts levels (sentence, paragraph and document) where the answer occurs inside a document, and a label indicating whether the answer is correct (a positive sample) or not (a negative sample). For instance, TrainQA can be used for training a binary classifier in order to decide if a given answer is correct (positive) to the question formulated or not (negative). To our knowledge, this is the first corpus aimed to train on every stage of a trainable Question Answering system: question classification, information retrieval, answer extraction and answer validation |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Sistemas de información, Sistemas expertos, Capacitación, Preguntas |
| Keyword: | Computer science, Information systems, Expert systems, Training, Questions |
| Texte intégral: | Texto completo (Ver HTML) |
