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• W1570214144 abstract "Identifying the lemma of a Named Entity is important for many Natural Language Processing applications like Information Retrieval. Here we introduce a novel approach for Named Entity lemmatisation which utilises the occurrence frequencies of each possible lemma. We constructed four corpora in English and Hungarian and trained machine learning methods using them to obtain simple decision rules based on the web frequencies of the lemmas. In experiments our web-based heuristic achieved an average accuracy of nearly 91%." @default.
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• W1570214144 date "2008-09-08" @default.
• W1570214144 modified "2023-09-30" @default.
• W1570214144 title "Web-Based Lemmatisation of Named Entities" @default.
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• W1570214144 doi "https://doi.org/10.1007/978-3-540-87391-4_9" @default.
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