Named entity recognition

Named Entity Recognition (NER) automatically identifies words or phrases of a special meaning in texts and classifies them into groups (e.g. persons, organizations, products, dates, cities, coutnries, product names).

NER can be used in wide range of applications, e.g. in other NLP tasks such as Question Answering or Machine Translation to improve their results, in indexing to precisely find documents related to some person or organization, in sentiment analysis to link results to particular products.

Our research is focused on multilinual NER and our current system is at the world state-of-the-art level. We have also rich experiences and excelent results with Czech NER [Konkol and Konopík, 2013].


Pavel Král
Named entities as new features for Czech document classification
15th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2014) (2014)
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Document classification | Named entitity recognition
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