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-# Designing dialogue systems: A mean, grumpy, sarcastic chatbot in the browser
-(accepted as an artwork for display in the [NeurIPS 2018 Workshop: Machine Learning for Creativity and Design](https://nips2018creativity.github.io/) online gallery)
+# Designing dialogue systems: MLT at NeurIPS 2018
 
-[![IMAGE ALT TEXT HERE](https://github.com/Machine-Learning-Tokyo/seq2seq_bot/blob/master/sarcastobot.png)](https://www.youtube.com/watch?v=NEkYrV_YZLk&t=5s)
+Experimenting with end-to-end systems with human-like traits, such as humor or creativity: Suzana Ilic and Reiichiro Nakano worked together on a funny, sarcastic deep learning-based chatbot and deployed it in the browser. The chatbot is an end-to-end sequence-to-sequence model that was trained on a custom dataset for dialogue systems. The project was submitted to the “NeurIPS 2018 Workshop: Machine Learning for Creativity and Design” and was accepted as artwork to the workshop online gallery. http://www.aiartonline.com/community/suzana-ilic/
 
+The demo is available at: https://machine-learning-tokyo.github.io/seq2seq_bot
+
+The Conference and Workshop on Neural Information Processing Systems is one of the major international machine learning and computational neuroscience conferences. 
+
+[<p align="center"><img src="https://github.com/Machine-Learning-Tokyo/seq2seq_bot/blob/master/sarcastobot.png" width="600"></p>](https://www.youtube.com/watch?v=NEkYrV_YZLk&t=5s)