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2 | 2 |
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3 | 3 | # [TextAugment: Improving Short Text Classification through Global Augmentation Methods](https://arxiv.org/abs/1907.03752) |
4 | 4 |
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5 | | -[](https://github.com/dsfsi/textaugment/blob/master/LICENCE) [](https://github.com/dsfsi/textaugment/releases) [](https://pypi.python.org/pypi/textaugment) [](https://pypi.org/project/textaugment/) [](https://pypi.org/project/textaugment/)[](https://link.springer.com/chapter/10.1007%2F978-3-030-57321-8_21) [](https://arxiv.org/abs/1907.03752) |
| 5 | +[](https://github.com/dsfsi/textaugment/blob/master/LICENCE) [](https://github.com/dsfsi/textaugment/releases) [](https://pypi.python.org/pypi/textaugment) [](https://pypi.org/project/textaugment/) [](https://pypi.org/project/textaugment/) [](https://pypi.org/project/textaugment/) [](https://link.springer.com/chapter/10.1007%2F978-3-030-57321-8_21) [](https://arxiv.org/abs/1907.03752) |
6 | 6 |
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7 | 7 | ## You have just found TextAugment. |
8 | 8 |
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@@ -32,7 +32,7 @@ TextAugment is a Python 3 library for augmenting text for natural language proce |
32 | 32 |
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33 | 33 | ## Citation Paper |
34 | 34 |
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35 | | -**[Improving short text classification through global augmentation methods](https://arxiv.org/abs/1907.03752)**. |
| 35 | +**[Improving short text classification through global augmentation methods](https://link.springer.com/chapter/10.1007%2F978-3-030-57321-8_21)**. |
36 | 36 |
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37 | 37 |
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38 | 38 |
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@@ -242,11 +242,13 @@ Mixup is a generic and straightforward data augmentation principle. In essence, |
242 | 242 | Cite this [paper](https://link.springer.com/chapter/10.1007%2F978-3-030-57321-8_21) when using this library. [Arxiv Version](https://arxiv.org/abs/1907.03752) |
243 | 243 |
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244 | 244 | ``` |
245 | | -@article{marivate2020improving, |
| 245 | +@inproceedings{marivate2020improving, |
246 | 246 | title={Improving short text classification through global augmentation methods}, |
247 | 247 | author={Marivate, Vukosi and Sefara, Tshephisho}, |
248 | | - journal={Machine Learning and Knowledge Extraction. CD-MAKE 2020. Lecture Notes in Computer Science}, |
249 | | - year={2020} |
| 248 | + booktitle={International Cross-Domain Conference for Machine Learning and Knowledge Extraction}, |
| 249 | + pages={385--399}, |
| 250 | + year={2020}, |
| 251 | + organization={Springer} |
250 | 252 | } |
251 | 253 | ``` |
252 | 254 |
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