add citied booked and research papers

README.md

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 # nlpaug
 
 This python library helps you with augmenting nlp for your machine learning projects. Visit this introduction to understand about [Data Augmentation in NLP](https://towardsdatascience.com/data-augmentation-in-nlp-2801a34dfc28). `Augmenter` is the basic element of augmentation while `Flow` is a pipeline to orchestra multi augmenter together.
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 *   Plug and play to any neural network frameworks (e.g. PyTorch, TensorFlow)
 *   Support textual and audio input
 
-## Research paper citied nlpaug
+## Book cited nlpaug
+*   S. Vajjala, B. Majumder, A. Gupta and H. Surana. [Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems](https://www.amazon.com/Practical-Natural-Language-Processing-Pragmatic/dp/1492054054). 2020
+
+## Research paper cited nlpaug
 *   M. Raghu and  E. Schmidt. [A Survey of Deep Learning for Scientific Discovery](https://arxiv.org/pdf/2003.11755.pdf). 2020
 *   H. Guan, J. Li, H. Xu and M. Devarakonda. [Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction](https://arxiv.org/ftp/arxiv/papers/2004/2004.06216.pdf). 2020
 *   X. He, K. Zhao and X. [Chu. AutoML: A Survey of the State-of-the-Art](https://arxiv.org/pdf/1908.00709.pdf). 2020
 *   S. Illium, R. Muller, A. Sedlmeier and C. Linnhoff-Popien. [Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms](https://arxiv.org/pdf/2008.04590.pdf). 2020
 *   D. Niederhut. [A Python package for text data enrichment](https://www.theoj.org/joss-papers/joss.02136/10.21105.joss.02136.pdf). 2020
 *   P. Ryan, S. Takafuji, C. Yang, N. Wilson and C. McBride. [Using Self-Supervised Learning of Birdsong for Downstream Industrial Audio Classification](https://openreview.net/pdf?id=_P9LyJ5pMDb). 2020
 *   Z. Shao, J. Yang and S. Ren. [Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets](https://arxiv.org/pdf/2006.08914.pdf). 2020
+*   S. Qiu, B. Xu, J. Zhang, Y. Wang, X. Shen, G. D. Melo, C. Long and X. Li EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks. 2020
+*   D. Nguyen, Q. H. Nguyen, M. Dao, D. Dang-Nguyen, C. Gurrin and B. T. Nguyen. [Duplicate Identification Algorithms in SaaS Platforms](http://doras.dcu.ie/24667/1/3379174.3392319.pdf). 2020
 
-## Project citied nlpaug
+## Project cited nlpaug
 *   D. Garcia-Olano and A. Jain. [Generating Counterfactual Explanations using Reinforcement Learning Methods for Tabular and Text data](http://www.diegoolano.com/files/RL_course_Fall_2019_Final_Project.pdf). 2019
 *   L. Yi. [Avengers: Achieving Superhuman Performance for Question Answering on SQuAD 2.0 Using Multiple Data Augmentations, Randomized Mini-Batch Training and Architecture Ensembling](https://pdfs.semanticscholar.org/ce36/6e8f69a26ea84a65fc2b37d7492f6c8993fe.pdf). 2020