Part-Of-Speech Tagging
213 papers with code • 17 benchmarks • 26 datasets
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 |
Libraries
Use these libraries to find Part-Of-Speech Tagging models and implementationsDatasets
Most implemented papers
Empower Sequence Labeling with Task-Aware Neural Language Model
In this study, we develop a novel neural framework to extract abundant knowledge hidden in raw texts to empower the sequence labeling task.
Learning Approximate Inference Networks for Structured Prediction
Prior work used gradient descent for inference, relaxing the structured output to a set of continuous variables and then optimizing the energy with respect to them.
NCRF++: An Open-source Neural Sequence Labeling Toolkit
This paper describes NCRF++, a toolkit for neural sequence labeling.
Generalizing Natural Language Analysis through Span-relation Representations
Natural language processing covers a wide variety of tasks predicting syntax, semantics, and information content, and usually each type of output is generated with specially designed architectures.
Beheshti-NER: Persian Named Entity Recognition Using BERT
In this paper, we use the pre-trained deep bidirectional network, BERT, to make a model for named entity recognition in Persian.
Natural Language Processing (almost) from Scratch
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunking, named entity recognition, and semantic role labeling.
PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese
This paper deals with the entity extraction task (named entity recognition) of a text mining process that aims at unveiling non-trivial semantic structures, such as relationships and interaction between entities or communities.
VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NLP annotation pipeline for Vietnamese.
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
In this paper, we re-evaluate classic general-purpose bootstrapping approaches in the context of neural networks under domain shifts vs. recent neural approaches and propose a novel multi-task tri-training method that reduces the time and space complexity of classic tri-training.
Sentence-State LSTM for Text Representation
Bi-directional LSTMs are a powerful tool for text representation.