Part Of Speech Tagging On Penn Treebank

Results

Performance results of various models on this benchmark

	Paper Title
SALE	Sequential Alignment Methods for Ensemble Part-of-Speech Tagging
Yang et al.	Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
LM-LSTM-CRF	Empower Sequence Labeling with Task-Aware Neural Language Model
Meta BiLSTM	Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
Feed Forward	-
CVT + Multi-task	Semi-Supervised Sequence Modeling with Cross-View Training
Flair embeddings	Contextual String Embeddings for Sequence Labeling
Adversarial Bi-LSTM	Robust Multilingual Part-of-Speech Tagging via Adversarial Training
BiLSTM-LAN	Hierarchically-Refined Label Attention Network for Sequence Labeling
IntNet + BiLSTM-CRF	Learning Better Internal Structure of Words for Sequence Labeling
Bi-LSTM + LMcost	Semi-supervised Multitask Learning for Sequence Labeling
Char Bi-LSTM	Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation
Bi-LSTM	Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss
SALE-BART encoder	Sequence Alignment Ensemble with a Single Neural Network for Sequence Labeling
NCRF++	NCRF++: An Open-source Neural Sequence Labeling Toolkit
SpanRel	Generalizing Natural Language Analysis through Span-relation Representations
S-LSTM	Sentence-State LSTM for Text Representation
Bi-LSTM	Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation
Bi-LSTM + charattn	Attending to Characters in Neural Sequence Labeling Models
BLSTM-CNN-CRF	End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

0 of 20 row(s) selected.

Command Palette

Part Of Speech Tagging On Penn Treebank

Results