Update README.md

Author: sgrvinod

README.md

@@ -18,8 +18,8 @@ Application | Paper | Tutorial | Status
 :---: | :---: | :---: | :---:
 Image Captioning | [_Show, Attend, and Tell_](https://arxiv.org/abs/1502.03044) | [a PyTorch Tutorial to Image Captioning](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning) | Complete
 Sequence Labeling | [_Empower Sequence Labeling with Task-Aware Neural Language Model_](https://arxiv.org/abs/1709.04109) | [a PyTorch Tutorial to Sequence Labeling](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Sequence-Labeling) | Complete
-Text Classification | [_Hierarchical Attention Networks for Document Classification_](https://www.semanticscholar.org/paper/Hierarchical-Attention-Networks-for-Document-Yang-Yang/1967ad3ac8a598adc6929e9e6b9682734f789427) | [a PyTorch Tutorial to Text Classification](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Text-Classification) | Code complete, tutorial in-progress
 Object Detection | [_SSD: Single Shot MultiBox Detector_](https://arxiv.org/abs/1512.02325) | [a PyTorch Tutorial to Object Detection](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection) | Complete
+Text Classification | [_Hierarchical Attention Networks for Document Classification_](https://www.semanticscholar.org/paper/Hierarchical-Attention-Networks-for-Document-Yang-Yang/1967ad3ac8a598adc6929e9e6b9682734f789427) | [a PyTorch Tutorial to Text Classification](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Text-Classification) | Code complete, tutorial in-progress
 Text Recognition | [_An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition_](https://arxiv.org/abs/1507.05717) | a PyTorch Tutorial to Text Recognition | Planned
 Text Summarization | [_Get To The Point: Summarization with Pointer-Generator Networks_](https://arxiv.org/abs/1704.04368) | a PyTorch Tutorial to Text Summarization | Planned
 Machine Translation | [_Attention Is All You Need_](https://arxiv.org/abs/1706.03762) | a PyTorch Tutorial to Machine Translation | Planned