POS

251 papers with code • 4 benchmarks • 4 datasets

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Libraries

Use these libraries to find POS models and implementations
3 papers
1,877
2 papers
43

Most implemented papers

Bidirectional LSTM-CRF Models for Sequence Tagging

determined22/zh-ner-tf 9 Aug 2015

It can also use sentence level tag information thanks to a CRF layer.

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

guillaumegenthial/sequence_tagging ACL 2016

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.

Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

UKPLab/emnlp2017-bilstm-cnn-crf 21 Jul 2017

Selecting optimal parameters for a neural network architecture can often make the difference between mediocre and state-of-the-art performance.

Joint entity recognition and relation extraction as a multi-head selection problem

bekou/multihead_joint_entity_relation_extraction 20 Apr 2018

State-of-the-art models for joint entity recognition and relation extraction strongly rely on external natural language processing (NLP) tools such as POS (part-of-speech) taggers and dependency parsers.

Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing

roomylee/entity-aware-relation-classification 23 Jan 2019

Our model not only utilizes entities and their latent types as features effectively but also is more interpretable by visualizing attention mechanisms applied to our model and results of LET.

Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages

mainlp/noisydialect 20 Apr 2023

This can for instance be observed when finetuning PLMs on one language and evaluating them on data in a closely related language variety with no standardized orthography.

Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network

aneesh-joshi/LSTM_POS_Tagger 21 Oct 2015

Bidirectional Long Short-Term Memory Recurrent Neural Network (BLSTM-RNN) has been shown to be very effective for tagging sequential data, e. g. speech utterances or handwritten documents.

Automated Phrase Mining from Massive Text Corpora

shangjingbo1226/AutoPhrase 15 Feb 2017

As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality phrases from a text corpus.

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks

kimiyoung/transfer 18 Mar 2017

Recent papers have shown that neural networks obtain state-of-the-art performance on several different sequence tagging tasks.

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

lancopku/pkuseg-python 27 Jun 2019

Through this method, we generate synthetic data using a large amount of unlabeled data in the target domain and then obtain a word segmentation model for the target domain.