Update README.md

code/rationale/README.md

@@ -3,9 +3,12 @@
 ### About
 This directory contains the code and resources of the following paper:
 
-  "Rationalizing Neural Predictions". Tao Lei, Regina Barzilay and Tommi Jaakkola. EMNLP 2016.  [[PDF]](https://people.csail.mit.edu/taolei/papers/emnlp16_rationale.pdf)  [[Slides]](https://people.csail.mit.edu/taolei/papers/emnlp16_rationale_slides.pdf)
-
+<i>"Rationalizing Neural Predictions". Tao Lei, Regina Barzilay and Tommi Jaakkola. EMNLP 2016.  [[PDF]](https://people.csail.mit.edu/taolei/papers/emnlp16_rationale.pdf)  [[Slides]](https://people.csail.mit.edu/taolei/papers/emnlp16_rationale_slides.pdf)</i>
 
+The method learns to provide justifications, i.e. rationales, as supporting evidence of neural networks' prediction. The following figure illustrates the rationales and the associated predictions for multi-aspect sentiment analysis on product reivew:
+<p align="center">
+<img width=500 src="figures/example.png">
+</p>
 
 ### Sub-directories
   - this root directory contains impelmentation of the rationale model used for the beer review data. ``rationale.py`` implements the independent selection version and ``rationale_dependent.py`` implements the sequential selection version. See the paper for details.