Spring 2016 Reading Schedule

Reading Schedule for Spring 2016

Order	Presenter	Paper	Date	Location
1	Nick Kloehn	Unsupervised Morphology Induction Using Word Embeddings	1/22/2016	GS 906
2	Mihai Surdeanu	Extracting Tree-Structured Representations of Trained Networks	1/29/2016	GS 906
3	Dane Bell	Deep Neural Decision Forests	2/5/2016	GS 906
4	Becky Sharp	A Transition-based Algorithm for AMR Parsing	2/12/2016	GS 906
5	Enrique Noriega	Improving Topic Models with Latent Feature Word Representations	2/19/2016	GS 906
6	Michael Capizzi	Natural Language Understanding with Distributed Representation LTSM: A Search Space Odyssey LSTM blog -- Understanding LSTM Networks	2/26/2016	GS 906
7	Josh Meyer	Sequence to Sequence Learning with Neural Networks	3/4/2016	GS 906
8	John Ivens	The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations	3/11/2016	GS 906
9	----	Spring Break!	3/18/2016	---
10	Marco A. Valenzuela-Escarcega	Show and Tell: A Neural Image Caption Generator	3/25/2016	GS 906
11	Robert Henderson	Language to Logical Form with Neural Attention	4/1/2016	GS 906
12	Clay Morrison	UPDATED: Representing Text for Joint Embedding of Text and Knowledge Bases	4/8/2016	GS 906
13	UPDATED: Heather Lent	Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning	4/15/2016	GS 906
14	Zechy Wong	Solving Geometry Problems: Combining Text and Diagram Interpretation	4/22/2016	GS 906
15	Gus Hahn-Powell	sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings	4/29/2016	GS 906

Below is a list of any important related resources that the presenter has asked to be made available to the reading group.

Order	Presenter	Additional Resources	Date
2	Mihai Surdeanu	Induction of Decision Trees Extracting Rules from Artificial Neural Networks with Distributed Representations	1/29/2016
3	Dane Bell	Deep Neural Decision Forests Supplementary Material	2/5/2016
6	Michael Capizzi	LSTM Presentation Slides (intro, etc.)	2/26/2016