| Título |
Summarizing Conceptual Graphs for Automatic Summarization Task |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science |
| Resumen |
We propose a conceptual graph-based framework for abstractive text summarization. While syntactic or partial semantic representations of texts have been used in literature, complete semantic representations have not been explored for this purpose. We use a complete semantic representation, namely, conceptual graph structures, composed of concepts and conceptual relations. To summarize a conceptual graph, we remove the nodes that represent less important content, and apply certain operations on the resulting smaller conceptual graphs. We measure the importance of nodes on weighted conceptual graphs by the HITS algorithm, augmented with some heuristics based on VerbNet semantic patterns. Our experimental results are promising. |
| Observaciones |
20th International Conference on Conceptual Structures, ICCS 2013,
7th International Symposium on Parameterized and Exact Computation, IPEC 2012; Ljubljana; Slovenia; 12 September 2013 through 14 September 2013; Code 100795 |
| Lugar |
Mumbai |
| País |
India |
| No. de páginas |
245-253 |
| Vol. / Cap. |
7735 |
| Inicio |
2013-01-10 |
| Fin |
2013-01-12 |
| ISBN/ISSN |
978-364233292-0 |
