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Turkish NER Model for User-Generated Content by anilkimsesiz1 is a document available to read on EtoBox.

What is Turkish NER Model for User-Generated Content about?

This document discusses the development of a CRF-based Named Entity Recognition (NER) model tailored for Turkish, a morphologically rich language, to enhance the processing of both well-formed texts and user-generated content. The model demonstrates a high F1 score of 92% on Turkish news articles and approximately 65% on Web 2.0 datasets, addressing challenges such as data scarcity and morphological complexity. The research highlights the importance of semantic enrichment in the context of the Semantic Web

Author

anilkimsesiz1

Language

EN