Multilingual Resources for Entity Extraction

Abstract

Progress in human language technology requires increasing amounts of data and annotation in a growing variety of languages. Research in Named Entity extraction is no exception. Linguistic Data Consortium is creating annotated corpora to support information extraction in English, Chinese, Arabic, and other languages for a variety of US Government-sponsored programs. This paper covers the scope of annotation and research tasks within these programs, describes some of the challenges of multilingual corpus development for entity extraction, and concludes with a description of the corpora developed to support this research.