turkish-nlp-suite/Turkish-Wiki-NER-Dataset

Repo for Turkish Wiki NER dataset.

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Experimental

This dataset helps you identify and categorize specific entities like names, dates, and locations within Turkish text. It takes raw Turkish sentences as input and outputs the same sentences with various entities tagged, such as 'PERSON', 'DATE', 'ORG', or 'LOC'. This is primarily for NLP researchers and developers building Turkish language processing applications.

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Use this if you need a pre-annotated, high-quality dataset to train or evaluate models that extract specific types of information from Turkish text, like names of people or organizations.

Not ideal if you are looking for a tool that directly performs Named Entity Recognition without needing to train a model, or if your focus is on a language other than Turkish.

Turkish-NLP Named-Entity-Recognition Text-Annotation Information-Extraction Machine-Learning-Datasets
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Last pushed

Jul 11, 2023

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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/turkish-nlp-suite/Turkish-Wiki-NER-Dataset"

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