Named Entity Tagged Sentences in Modern Standard Arabic
Named Entity Recognition is an important part of many NLP applications, but finding data that has been annotated by humans with an exhaustive set of entity categories is not easy. This dataset of more than 150K annotated sentences across 24 entity categories is here to remedy that.
Named Entity Recognition is an important part of many NLP applications, but finding data that has been annotated by humans with an exhaustive set of entity categories is not easy. This dataset of more than 150K annotated sentences across 24 entity categories is here to remedy that.
Named Entity Recognition is an important part of many NLP applications, but finding data that has been annotated by humans with an exhaustive set of entity categories is not easy. This dataset of more than 150K annotated sentences across 24 entity categories is here to remedy that.
Named Entity Recognition is an important part of many NLP applications, but finding data that has been annotated by humans with an exhaustive set of entity categories is not easy. This dataset of more than 150K annotated sentences across 24 entity categories is here to remedy that.
Dataset specs
Type
Text
File format
tsv
Region/Locale
MS, AR, ar-MSA
Amount
157.6K
Leverage
Train AI to accurately identify and categorize named entities within sentences.
Improve user experiences and the efficiency of information retrieval and analysis
Use cases
Chatbot Development and Enhancement
Search Engines and Information Retrieval System
AI-Driven Market and Research Analysis
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Dataset specs
Type
Text
File format
tsv
Region/Locale
MS, AR, ar-MSA
Amount
157.6K