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 implementations
2 papers
1,877

Most implemented papers

Empower Sequence Labeling with Task-Aware Neural Language Model

LiyuanLucasLiu/LM-LSTM-CRF 13 Sep 2017

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

lifu-tu/ENGINE ICLR 2018

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

jiesutd/NCRFpp ACL 2018

This paper describes NCRF++, a toolkit for neural sequence labeling.

Generalizing Natural Language Analysis through Span-relation Representations

jzbjyb/SpanRel ACL 2020

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

sEhsanTaher/Beheshti-NER NSURL 2019

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

faramarzmunshi/d2l-nlp 2 Mar 2011

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

LIAAD/py-pampo 30 Dec 2016

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

vncorenlp/VnCoreNLP NAACL 2018

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

bplank/semi-supervised-baselines ACL 2018

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

leuchine/S-LSTM ACL 2018

Bi-directional LSTMs are a powerful tool for text representation.