Automatic creation of semantic data about football transfer in sport news
Quang-Minh Nguyen, Tuan‐Dung Cao, Thanh-Tam Nguyen · 2014
The semantic annotation of textual content is important for the success of many information integration systems. In this paper, we present a method for generating semantic annotations about transfer in football news. Semantic web technologies are applied to extend the knowledge base of KIM platform so that named entities in this specific domain could be recognized. We study and define language models to recognize the semantic relation for football transfers. At the same time, we propose a pronoun recognition method using extraction rules to improve the relation recognition process. The experiment showed promising results on the data set built from Sky Sports news [27]. The precisions achieved in both cases, with and without integration of the pronoun recognition method, are both over 80%. In particular, the latter helps increase the recall value to around 10%.