Spring 2019 Reading Schedule

Reading Schedule for Spring 2019

Presenters: It will be helpful if you can do a 5 min primer of all the new terms in the paper you are presenting.

Readers: Please scroll down for supplementary reading materials suggested by the respective presenters.

Order	Presenter	Paper	Date	Location	Slides
1	Mithun	Transfer Learning for Sequences via Learning to Collocate, Cross-Pair Text Representations for Answer Sentence Selection,Multi-Adversarial Domain Adaptation, Strong Baselines for Neural Semi-supervised Learning under Domain Shift	01/25/2019	GS 856
2	Mihai	BERT and Attention Is All You Need	19/04/2019	GS 856
3	Rianne	Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge	08/02/2019	GS 856
4	Enrique	N-ary Relation Extraction using Graph State LSTM	15/02/2019	GS 856
5	Fan	[Traversing Knowledge Graphs in Vector Space] (http://www.emnlp2015.org/proceedings/EMNLP/pdf/EMNLP038.pdf)	22/2/2019	GS 856
6	Mohammed	Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems	01/03/2019	GS 856
7	Sina	Conditional BERT Contextual Augmentation	15/03/2019	GS 856
8	Zhengzhong	Ask Me Anything: Dynamic Memory Networks for Natural Language Processing	22/03/2019	GS 856
9	Masha	Learning to Learn Semantic Parsers from Natural Language Supervision	29/03/2019	GS 856
10	Dongfang	Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking	05/04/2019	GS 856
11	Zheng	Learning Explanatory Rules from Noisy Data	12/04/2019	GS 856
12	Vikas	Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples	04/19/2019	GS 856
13	Peter	[Summary of Peter Jansen's recent signal-to-noise ration / graph-traversal papers]	26/04/2019	GS 856