32 - The Effect of Different Writing Tasks on Linguistic Style, with Roy Schwartz
CoNLL 2017 paper, by Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, and Noah A. Smith. Roy comes on to talk to us about the paper. They analyzed the ROCStories corpus, which w...
10 Okt 201724min
31 - Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling
ICLR 2017 paper by Hakan Inan, Khashayar Khosravi, Richard Socher, presented by Waleed. The paper presents some tricks for training better language models. It introduces a modified loss function fo...
6 Okt 201711min
30 - Probabilistic Typology: Deep Generative Models of Vowel Inventories
Paper by Ryan Cotterell and Jason Eisner, presented by Matt. This paper won the best paper award at ACL 2017. It's also quite outside the typical focus areas that you see at NLP conferences, trying ...
5 Okt 201731min
29 - Neural machine translation via binary code prediction, with Graham Neubig
ACL 2017 paper, by Yusuke Oda and others (including Graham Neubig) at Nara Institute of Science and Technology (Graham is now at Carnegie Mellon University). Graham comes on to talk to us about neura...
14 Jul 201738min
28 - Data Programming: Creating Large Training Sets, Quickly
NIPS 2016 paper by Alexander Ratner and coauthors in Chris Ré's group at Stanford, presented by Waleed. The paper presents a method for generating labels for an unlabeled dataset by combining a numbe...
11 Jul 201725min
27 - What do Neural Machine Translation Models Learn about Morphology?, with Yonatan Belinkov
ACL 2017 paper by Yonatan Belinkov and others at MIT and QCRI. Yonatan comes on to tell us about their work. They trained a neural MT system, then learned models on top of the NMT representation lay...
5 Jul 201729min
26 - Structured Attention Networks, with Yoon Kim
ICLR 2017 paper, by Yoon Kim, Carl Denton, Luong Hoang, and Sasha Rush. Yoon comes on to talk with us about his paper. The paper shows how standard attentions can be seen as an expected feature coun...
30 Jun 201725min
25 - Neural Semantic Parsing over Multiple Knowledge-bases
ACL 2017 short paper, by Jonathan Herzig and Jonathan Berant. This is a nice, obvious-in-hindsight paper that applies a frustratingly-easy-domain-adaptation-like approach to semantic parsing, similar...
28 Jun 201710min
