• Corpus ID: 10679309

RULE-BASED NAMED ENTITY RECOGNITION FOR GREEK FINANCIAL TEXTS

@inproceedings{Farmakiotou2000RULEBASEDNE,
  title={RULE-BASED NAMED ENTITY RECOGNITION FOR GREEK FINANCIAL TEXTS},
  author={Dimitra Farmakiotou and Vangelis Karkaletsis and John Koutsias and George Sigletos and Constantine D. Spyropoulos and Panagiotis Stamatopoulos},
  year={2000}
}
The identification and classification of proper names (named entity recognition) is considered an important task in the area of Information Retrieval and Extraction. A typical named entity recognition (NER) system mainly consists of a lexicon and a grammar. When moving to a new domain, these lexical resources should be customised, either manually or exploiting machine learning techniques. In this paper, we present a NER system based on hand crafted lexical resources. The system is part of a… 
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