Domain-Independent Novel Event Discovery and Semi-Automatic Event Annotation
Hao Li, Xiang Li, Heng Ji, Yuval Marton · Institutional Repositories DataBase (IRDB) · 2010
Information Extraction (IE) is becoming increasingly useful, but it is a costly task to discover and annotate novel events, event arguments, and event types.We exploit both monolingual texts and bilingual sentence-aligned parallel texts to cluster event triggers and discover novel event types.We then generate event argument annotations semiautomatically, framed as a sentence ranking and semantic role labeling task.Experiments on three different corpora --ACE, OntoNotes and a collection of scientific literature --have demonstrated that our domain-independent methods can significantly speed up the entire event discovery and annotation process while maintaining high quality.