| Revista: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000359041 |
| ISSN: | 1870-9044 |
| Autores: | Yokoi, Keisuke1 Nghiem, Minh-Quoc2 Matsubayashi, Yuichiroh3 Aizawa, Akiko1 |
| Instituciones: | 1University of Tokyo, Department of Computer Science, Tokio. Japón 2The Graduate University for Advanced Studies, Department of Informatics, Tokio. Japón 3National Institute of Informatics, Tokio. Japón |
| Año: | 2011 |
| Periodo: | Ene-Jun |
| Número: | 43 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | We found a way to use mathematical search to provide better navigation for reading papers on computers. Since the superficial information of mathematical expressions is ambiguous, considering not only mathematical expressions but also the texts around them is necessary. We present how to extract a natural language description, such as variable names or function definitions that refer to mathematical expressions with various experimental results. We first define an extraction task and constructed a reference dataset of 100 Japanese scientific papers by hand. We then propose the use of two methods, pattern matching and machine learning based ones for the extraction task. The effectiveness of the proposed methods is shown through experiments by using the reference set |
| Disciplinas: | Ciencias de la computación, Literatura y lingüística, Matemáticas |
| Palabras clave: | Procesamiento de datos, Lingüística aplicada, Lingüística computacional, Expresiones matemáticas, Procesamiento de lenguaje natural, Recuperación de información, Aprendizaje de máquinas |
| Keyword: | Computer science, Literature and linguistics, Mathematics, Data processing, Applied linguistics, Computing linguistics, Natural language processing, Information retrieval, Machine learning, Mathematical expressions |
| Texto completo: | Texto completo (Ver HTML) |
