From 96ca3f6520498357c0c92e820cac8b0635b2ef37 Mon Sep 17 00:00:00 2001 From: taolei87 Date: Thu, 27 Oct 2016 20:22:15 -0400 Subject: [PATCH] Update README.md --- code/rationale/README.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/code/rationale/README.md b/code/rationale/README.md index 9111e57..da38b21 100644 --- a/code/rationale/README.md +++ b/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) - +"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) +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: +

+ +

### 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.