Maximum Entropy Named Entity Recognition for Czech Language

Michal Konkol and Miloslav Konopík
Text, Speech and Dialogue (2011)


Research topics:

Named Entity Recognition



@inproceedings{Konkol.Konopik.2011, year = {2011}, isbn = {978-3-642-23537-5}, booktitle = {Text, Speech and Dialogue}, volume = {6836}, series = {Lecture Notes in Computer Science}, editor = {Habernal, Ivan and Matou\v{s}ek, V\'{a}clav}, doi = {10.1007/978-3-642-23538-2_26}, title = {Maximum Entropy Named Entity Recognition for Czech Language}, url = {}, publisher = {Springer Berlin Heidelberg}, keywords = {Named Entity Recognition; Maximum Entropy; Semantic Spaces; Czech}, author = {Konkol, Michal and Konop\'{i}k, Miloslav}, pages = {203-210}, abstact = {Named Entity Recognition (NER) is an important preprocessing tool for many Natural Language Processing tasks like Information Retrieval, Question Answering or Machine Translation. This paper is focused on NER for Czech language. The proposed NER is based on knowledge and experiences acquired on other languages and adapted for Czech. Our recognizer outperforms the previously introduced recognizers for Czech. The article is also focused on the use of semantic spaces for NER. Although no significant improvement was yet achieved in this way, we believe that the research is worth of sharing.} }
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