| Revista: | Latin-American Journal of Computing (LAJC) |
| Base de datos: | |
| Número de sistema: | 000565065 |
| ISSN: | 1390-9134 |
| Autores: | Hernández Álvarez, Myriam1 Gómez Soriano, José2 Martínez Barco, Patricio2 |
| Instituciones: | 1Escuela Politécnica Nacional, Facultad de Ingeniería de Sistemas, Quito, Pichincha. Ecuador 2Universidad de Alicante, Departamento de Lenguajes y Sistemas Informáticos, Alicante. España |
| Año: | 2016 |
| Volumen: | 3 |
| Número: | 1 |
| Paginación: | 35-42 |
| País: | Ecuador |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Resumen en inglés | In this paper, we present a corpus composed of 85 scientific articles annotated with 2092 citations analyzed using context analysis. We obtained a high Inter-annotator agreement; therefore, we assure reliability and reproducibility of the annotation performed by three coders in an independent way. We applied this corpus to classify citations according to qualitative criteria using a medium granularity categorization scheme enriched by annotated keywords and labels to obtain high granularity. The annotation schema handle three dimensions: PURPOSE: POLARITY: ASPECTS. Citation purpose define functions classification: use, critique, comparison and background with more specific classes stablished using keywords: Based on, Supply; Useful; Contrast; Acknowledge, Corroboration, Debate; Weakness and Hedges. Citation aspects complement the citation characterization: concept, method, data, tool, task, among others. Polarity has three levels: Positive, Negative and Neutral. We developed the schema and annotated the corpus focusing in applications for citation influence assessment, but we suggest that applications as summary generation and information retrieval also could use this annotated corpus because of the organization of the scheme in clearly defined general dimensions. |
| Disciplinas: | Ciencias de la computación, Ciencias de la computación, Literatura y lingüística |
| Palabras clave: | Inteligencia artificial, Procesamiento de datos, Lingüística aplicada |
| Keyword: | Artificial intelligence, Data processing, Applied linguistics |
| Texto completo: | Texto completo (Ver PDF) |
