We study an open text mining problem – discovering concept-level event associations from a text stream. We investigate the importance and challenge of this task and propose a novel solution by using event sequential patterns. The proposed approach can discover important event associations implicitly expressed. The discovered event associations are general and useful as knowledge for applications such as event prediction.
CITATION STYLE
Ge, T., Cui, L., Ji, H., Chang, B., & Sui, Z. (2016). Discovering concept-level event associations from a text stream. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10102, pp. 413–424). Springer Verlag. https://doi.org/10.1007/978-3-319-50496-4_34
Mendeley helps you to discover research relevant for your work.