Added Ed's slides and some reading.

README.md

@@ -203,12 +203,20 @@ This lecture introduces algorithms for converting written language into spoken l
 [slides]
 [video]
 
+### Reading
+* [Teaching machines to read and comprehend. Hermann et al., NIPS 2015](http:https://papers.nips.cc/paper/5945-teaching-machines-to-read-and-comprehend)
+* [Deep Learning for Answer Sentence Selection. Yu et al., NIPS Deep Learning Workshop 2014](https://arxiv.org/abs/1412.1632)
 
 ## 14. Lecture 12 - (Coming Soon) Memory [Ed Grefenstette]
 
-[slides]
+[[slides]](Lecture 12 - Memory Lecture.pdf)
 [video]
 
+### Reading
+* [Hybrid computing using a neural network with dynamic external memory. Graves et al., Nature 2016](http:https://www.nature.com/nature/journal/v538/n7626/abs/nature20101.html)
+* [Reasoning about Entailment with Neural Attention. Rocktäschel et al., ICLR 2016](https://arxiv.org/abs/1509.06664)
+* [Learning to transduce with unbounded memory. Grefenstette et al., NIPS 2015](http:https://papers.nips.cc/paper/5648-learning-to-transduce-with-unbounded-memory)
+* [End-to-End Memory Networks. Sukhbaatar et al., NIPS 2015](https://arxiv.org/abs/1503.08895)
 
 # Piazza
 We will be using Piazza to facilitate class discussion during the course. Rather than emailing questions directly, I encourage you to post your questions on Piazza to be answered by your fellow students, instructors, and lecturers. However do please do note that all the lecturers for this course are volunteering their time and may not always be available to give a response.