PEYMA: A Tagged Corpus for Persian Named Entities

Understand

The goal in the NER task is to classify proper nouns of a text into classes such as person, location, and organization.

• This is an important preprocessing step in many NLP tasks such as question-answering and summarization.
• Although many research studies have been conducted in this area in English and the state-of-the-art NER systems have reached performances of higher than 90 percent in terms of F1 measure, there are very few research studies for this task in Persian.
• One of the main important causes of this may be the lack of a standard Persian NER dataset to train and test NER systems.