Named Entity Recognition for Ukrainian: A Resource-Light Approach
نویسندگان
چکیده
Named entity recognition (NER) is a subtask of information extraction (IE) which can be used further on for different purposes. In this paper, we discuss named entity recognition for Ukrainian language, which is a Slavonic language with a rich morphology. The approach we follow uses a restricted number of features. We show that it is feasible to boost performance by considering several heuristics and patterns acquired from the Web data.
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