A text augmentation tool for named entity recognition.

Related tags

Text Data & NLPnlpmachine-learningnatural-language-processingdeep-learning
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:

Citation

@misc{neraug,
  title={neraug: A data augmentation tool for named entity recognition},
  author={Hiroki Nakayama},
  url={https://github.com/Hironsan/neraug},
  year={2021}
}
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Releases(v0.1.1)
Owner
Hiroki Nakayama
OSS developer | Interested in Natural Language Processing
Hiroki Nakayama
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