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What is Twitter POS Tagging with TPANN about?

This paper presents a novel approach to part-of-speech tagging for Tweets using a Target Preserved Adversarial Neural Network (TPANN). The method leverages a combination of labeled and unlabeled data from various domains to improve tagging accuracy, addressing challenges such as informal language and out-of-vocabulary words. Experimental results indicate that TPANN outperforms existing state-of-the-art methods on multiple datasets.

Author

Muhammad Alfian

Language

EN