NER in the OntoNotes Corpus

The goal of the project was to annotate a large corpus comprising various genres of text (news, conversational telephone speech, weblogs, usenet newsgroups, broadcast, talk shows) in three languages (English, Chinese, and Arabic) with structural information (syntax and predicate argument structure) and shallow semantics (word sense linked to an ontology and coreference). This comparison focuses only on the NER annotations layer in OntoNotes. The dataset represents diverse genres such as newswire (News), broadcast news (BN), broadcast conversation (BC), telephone conversation (Tele) and web data (Web) in English and Chinese and newswire data in Arabic. Furthermore the dataset is multilingual across English, Chinese and Arabic.