摘要：Named Entity Recognition (NER) is an important task in many NLP
pipelines. It has become especially important for knowledge bases that power many
of the nowadays information retrieval systems. In order to cope with the high
demand for annotated training corpora for supervised NER systems, automatic
generation approaches have been proposed. In this paper we report on the first
automatically generated NE annotated corpus for Albanian. News articles from
Albanian news media were used as a document source. They were automatically
tagged using a custom generated gazetteer from the Albanian Wikipedia. Our
evaluation results show that this corpus can be used as a baseline corpus for human
annotated ones or as a training corpus where no other is available.
关键词：Named entity recognition; natural language processing; language;
corpora; semi-automatic annotation; information extraction.
