Abstract
We present a named-entity recognizer for Greek person names and temporal expressions. For temporal expressions, it relies on semi- automatically produced patterns. For person names, it employs two Support Vector Machines, that scan the input text in two passes, and active learning, which reduces the human annotation effort during training.
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Lucarelli, G., Androutsopoulos, I. (2006). A Greek Named-Entity Recognizer That Uses Support Vector Machines and Active Learning. In: Antoniou, G., Potamias, G., Spyropoulos, C., Plexousakis, D. (eds) Advances in Artificial Intelligence. SETN 2006. Lecture Notes in Computer Science(), vol 3955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752912_22
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DOI: https://doi.org/10.1007/11752912_22
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