Part-Of-Speech Tagging on UD

Metric: Avg accuracy (higher is better)

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#	Model↕	Avg accuracy▼	Extra Data	Paper	Date↕	Code
1	BiLSTM-LAN	96.88	No	Hierarchically-Refined Label Attention Network f...	2019-08-23	Code
2	Adversarial Bi-LSTM	96.65	No	Robust Multilingual Part-of-Speech Tagging via A...	2017-11-14	Code
3	MultiBPEmb	96.62	No	Sequence Tagging with Contextual and Non-Context...	2019-06-04	Code
4	Bi-LSTM	96.4	No	Multilingual Part-of-Speech Tagging with Bidirec...	2016-04-19	Code
5	Joint Bi-LSTM	95.55	No	A Novel Neural Network Model for Joint POS Taggi...	2017-05-16	Code

#1BiLSTM-LANSOTA
96.88
Avg accuracy· 2019-08-23
Hierarchically-Refined Label Attention Network for Sequence Labeling Code
#2Adversarial Bi-LSTMSOTA
96.65
Avg accuracy· 2017-11-14
Robust Multilingual Part-of-Speech Tagging via Adversarial Training Code
#3MultiBPEmb
96.62
Avg accuracy· 2019-06-04
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation Code
#4Bi-LSTMSOTA
96.4
Avg accuracy· 2016-04-19
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss Code
#5Joint Bi-LSTM
95.55
Avg accuracy· 2017-05-16
A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing Code