Year: 2012
Type: conference-paper
Abstract: Supervised Named Entity Recognizers require large amounts of annotated text. Since manual annotation is a highly costly procedure, reducing the annotation cost is essential. We present a fully automatic method to build NE annotated corpora from Wikipedia. In contrast to recent work, we apply a new method, which maps the DBpedia classes into CoNLL NE types. Since our method is mainly language-independent, we used it to generate corpora for English and Hungarian. The corpora are freely available.
Authors: Eszter Simon, Dávid Márk Nemeskey
Institution: Hungarian Academy of Sciences
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1846321791