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A Novel Approach to Conditional Random Field-based Named Entity Recognition using Persian Specific Features
2020
Journal of Artificial Intelligence and Data Mining
Named Entity Recognition is an information extraction technique that identifies name entities in a text. Three popular methods have been conventionally used namely: rule-based, machine-learning-based and hybrid of them to extract named entities from a text. Machine-learning-based methods have good performance in the Persian language if they are trained with good features. To get good performance in Conditional Random Field-based Persian Named Entity Recognition, a several syntactic features
doi:10.22044/jadm.2019.8430.1980
doaj:cc4826ccf7f54ddd93343ebf7658788c
fatcat:vk6eb2cvn5g3jeh65wqlg5l6uu