Event Extraction using Ontology Directed Semantic Grammar

• Published in: Journal of Information Science and Engineering Vol. 32; no. 1; pp. 79 - 96
• Main Authors: Kuptabut, Suthasinee, Netisopakul, Ponrudee
• Format: Journal Article
• Language: English
• Published: 社團法人中華民國計算語言學學會 01.01.2016
• Subjects: Dynamical systems; Dynamics; Football; Grammars; Knowledge base; Knowledge representation; News; Semantics; inference rules; frame integration; event extraction; semantic parser; ontology
• ISSN: 1016-2364
• DOI: 10.6688/JISE.2016.32.1.5

The task of extracting and constructing knowledge base from news is still a subject of ongoing research. The obtained knowledge base is useful for many applications, such as a question answering system. Football news always gains enormous interest from many football fan clubs. Hence, there are needs to extract certain information from this news in timely fashion. This paper proposes a new approach to extract football events from football news webpages and represents them as frames. One of the main contributions of the new approach is the process of dynamically generating semantic grammar from football domain ontology. A semantic parser uses this grammar to recognize events of interest and their details. This paper explains the overall architecture of our system called Ontology Directed Event Extraction System and explains detail implementation of our new proposed approach for extracting football events. The system is demonstrated by extracting events from 40 football news webpages, resulting in 699 frames which evaluated over 85% precision and recall.