A text augmentation tool for named entity recognition.

Last update: Oct 11, 2022

Overview

neraug

This python library helps you with augmenting text data for named entity recognition.

Augmentation Example

Reference from An Analysis of Simple Data Augmentation for Named Entity Recognition

Installation

To install the library:

pip install neraug

Usage

One of the example algorithms: DictionaryReplacement:

>>> from neraug.augmentator import DictionaryReplacement
>>> from neraug.scheme import IOBES

>>> ne_dic = {'Tokyo Big Sight': 'LOC'}
>>> augmentator = DictionaryReplacement(ne_dic, str.split, IOBES)
>>> x = ['I', 'went', 'to', 'Tokyo']
>>> y = ['O', 'O', 'O', 'S-LOC']
>>> x_augs, y_augs = augmentator.augment(x, y, n=1)   
>>> x_augs
[['I', 'went', 'to', 'Tokyo', 'Big', 'Sight']]
>>> y_augs
[['O', 'O', 'O', 'B-LOC', 'I-LOC', 'E-LOC']]

The library supports the following algorithms:

DictionaryReplacement
LabelWiseTokenReplacement
MentionReplacement
ShuffleWithinSegment

and supports the following scheme:

IOB2
IOBES
BILOU

Reference

Appreciate for the following research:

An Analysis of Simple Data Augmentation for Named Entity Recognition

Citation

@misc{neraug,
  title={neraug: A data augmentation tool for named entity recognition},
  author={Hiroki Nakayama},
  url={https://github.com/Hironsan/neraug},
  year={2021}
}

You might also like...

Pytorch-Named-Entity-Recognition-with-BERT

BERT NER Use google BERT to do CoNLL-2003 NER ! Train model using Python and Inference using C++ ALBERT-TF2.0 BERT-NER-TENSORFLOW-2.0 BERT-SQuAD Requi

1.1k Dec 25, 2022

Implemented shortest-circuit disambiguation, maximum probability disambiguation, HMM-based lexical annotation and BiLSTM+CRF-based named entity recognition

0 Feb 13, 2022

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

For better performance, you can try NLPGNN, see NLPGNN for more details. BERT-NER Version 2 Use Google's BERT for named entity recognition （CoNLL-2003

1.2k Dec 26, 2022

Named Entity Recognition API used by TEI Publisher

TEI Publisher Named Entity Recognition API This repository contains the API used by TEI Publisher's web-annotation editor to detect entities in the in

14 Nov 15, 2022

Nested Named Entity Recognition

Nested Named Entity Recognition Training Dataset: CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark url: https://tianchi.aliyun.

8 Dec 25, 2022

RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2

RoNER RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2. It is meant to be an easy to use, hi

9 Nov 7, 2022

Spacy-ginza-ner-webapi - Named Entity Recognition API with spaCy and GiNZA

Named Entity Recognition API with spaCy and GiNZA I wrote a blog post about this

3 Feb 27, 2022

Code for "Parallel Instance Query Network for Named Entity Recognition", accepted at ACL 2022.

README Code for Two-stage Identifier: "Parallel Instance Query Network for Named Entity Recognition", accepted at ACL 2022. For details of the model a

45 Nov 29, 2022

A spaCy wrapper of OpenTapioca for named entity linking on Wikidata

spaCyOpenTapioca A spaCy wrapper of OpenTapioca for named entity linking on Wikidata. Table of contents Installation How to use Local OpenTapioca Vizu

80 Jan 3, 2023

Releases(v0.1.1)

v0.1.1(Jul 22, 2021)

Remove tokenizer from MentionReplacement
Source code(tar.gz)
Source code(zip)
v0.1.0(Jul 22, 2021)

Source code(tar.gz)
Source code(zip)

A text augmentation tool for named entity recognition.

Related tags

Overview

neraug

Augmentation Example

Installation

Usage

Reference

Citation

You might also like...

Pytorch-Named-Entity-Recognition-with-BERT

Implemented shortest-circuit disambiguation, maximum probability disambiguation, HMM-based lexical annotation and BiLSTM+CRF-based named entity recognition

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

Named Entity Recognition API used by TEI Publisher

Nested Named Entity Recognition

RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2

Spacy-ginza-ner-webapi - Named Entity Recognition API with spaCy and GiNZA

Code for "Parallel Instance Query Network for Named Entity Recognition", accepted at ACL 2022.

A spaCy wrapper of OpenTapioca for named entity linking on Wikidata

Releases(v0.1.1)

v0.1.1(Jul 22, 2021)

v0.1.0(Jul 22, 2021)

Owner

Hiroki Nakayama

IndoBERTweet is the first large-scale pretrained model for Indonesian Twitter. Published at EMNLP 2021 (main conference)

NLPretext packages in a unique library all the text preprocessing functions you need to ease your NLP project.

leaking paid token generator that was a shit lmao for 100$ haha

A multi-voice TTS system trained with an emphasis on quality

Speach Recognitions

Spert NLP Relation Extraction API deployed with torchserve for inference

A program that uses real statistics to choose the best times to bet on BloxFlip's crash gamemode

Pre-Training with Whole Word Masking for Chinese BERT

Trex is a tool to match semantically similar functions based on transfer learning.

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

This is a modification of the OpenAI-CLIP repository of moein-shariatnia

Transformers and related deep network architectures are summarized and implemented here.

Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2.

Textpipe: clean and extract metadata from text

RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. Unlike other versions of the model we use BERT for text encoder and SWIN transformer for image encoder.

a chinese segment base on crf

Machine learning classifiers to predict American Sign Language .

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Python library for parsing resumes using natural language processing and machine learning