About

Part-of-speech tagging (POS tagging) is the task of tagging a word in a text with its part of speech. A part of speech is a category of words with similar grammatical properties. Common English parts of speech are noun, verb, adjective, adverb, pronoun, preposition, conjunction, etc.

Example:

Vinken , 61 years old
NNP , CD NNS JJ

Benchmarks

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Subtasks

Datasets

Greatest papers with code

Semi-Supervised Sequence Modeling with Cross-View Training

EMNLP 2018 tensorflow/models

We therefore propose Cross-View Training (CVT), a semi-supervised learning algorithm that improves the representations of a Bi-LSTM sentence encoder using a mix of labeled and unlabeled data.

CCG SUPERTAGGING DEPENDENCY PARSING MACHINE TRANSLATION MULTI-TASK LEARNING NAMED ENTITY RECOGNITION PART-OF-SPEECH TAGGING UNSUPERVISED REPRESENTATION LEARNING

Globally Normalized Transition-Based Neural Networks

ACL 2016 tensorflow/models

Our model is a simple feed-forward neural network that operates on a task-specific transition system, yet achieves comparable or better accuracies than recurrent models.

DEPENDENCY PARSING PART-OF-SPEECH TAGGING SENTENCE COMPRESSION

Contextual String Embeddings for Sequence Labeling

COLING 2018 zalandoresearch/flair

Recent advances in language modeling using recurrent neural networks have made it viable to model language as distributions over characters.

CHUNKING LANGUAGE MODELLING NAMED ENTITY RECOGNITION PART-OF-SPEECH TAGGING WORD EMBEDDINGS

N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models

24 Sep 2020HIT-SCIR/ltp

We introduce N-LTP, an open-source Python Chinese natural language processing toolkit supporting five basic tasks: Chinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, and semantic dependency parsing.

CHINESE WORD SEGMENTATION DEPENDENCY PARSING KNOWLEDGE DISTILLATION NAMED ENTITY RECOGNITION PART-OF-SPEECH TAGGING SEMANTIC DEPENDENCY PARSING

Chinese Lexical Analysis with Deep Bi-GRU-CRF Network

5 Jul 2018baidu/lac

Lexical analysis is believed to be a crucial step towards natural language understanding and has been widely studied.

LEXICAL ANALYSIS NAMED ENTITY RECOGNITION NATURAL LANGUAGE UNDERSTANDING PART-OF-SPEECH TAGGING

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

ACL 2016 guillaumegenthial/sequence_tagging

State-of-the-art sequence labeling systems traditionally require large amounts of task-specific knowledge in the form of hand-crafted features and data pre-processing.

FEATURE ENGINEERING NAMED ENTITY RECOGNITION PART-OF-SPEECH TAGGING