NLP Highlights

NLP Highlights

**The podcast is currently on hiatus. For more active NLP content, check out the Holistic Intelligence Podcast linked below.** Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.

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Episoder(145)

24 - Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

24 - Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

ACL 2016 outstanding paper, by Vered Shwartz, Yoav Goldberg and Ido Dagan. Waleed presents this paper, discussing hypernymy detection and the methods used in the paper. It's pretty similar to work i...

27 Jun 201716min

23 - Get To The Point: Summarization with Pointer-Generator Networks

23 - Get To The Point: Summarization with Pointer-Generator Networks

ACL 2017 paper by Abigail See, Peter Liu, and Chris Manning. Matt presents the paper, describing the task (summarization on CNN/Daily Mail), the model (the standard copy + generate model that people ...

26 Jun 201717min

22 -  Deep Multitask Learning for Semantic Dependency Parsing, with Noah Smith

22 - Deep Multitask Learning for Semantic Dependency Parsing, with Noah Smith

An interview with Noah Smith. Noah tells us about his work with his students Hao Peng and Sam Thomson. We talk about what semantic dependency parsing is, the model that they used to approach the pro...

16 Jun 201731min

21 - Contextual Explanation Networks, with Maruan Al-Shedivat

21 - Contextual Explanation Networks, with Maruan Al-Shedivat

https://arxiv.org/abs/1705.10301 Maruan, Avinava Dubey and Eric Xing essentially put the post-hoc decision boundary explanations from the "Why Should I Trust You?" paper* as a core component of a pre...

15 Jun 201719min

20 - A simple neural network module for relational reasoning

20 - A simple neural network module for relational reasoning

The recently-hyped paper that got "superhuman" performance on FAIR's CLEVR dataset. https://arxiv.org/abs/1706.01427

14 Jun 201717min

19 - End-to-end Differentiable Proving, with Tim Rocktäschel

19 - End-to-end Differentiable Proving, with Tim Rocktäschel

An interview with Tim Rocktäschel. https://arxiv.org/abs/1705.11040

12 Jun 201726min

18 - Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema

18 - Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema

https://www.semanticscholar.org/paper/Generalizing-to-Unseen-Entities-and-Entity-Pairs-w-Verga-Neelakantan/7dd8b958632b07e41979337c71d847a3f39df456

9 Jun 201710min

17 - pix2code: Generating Code from a Graphical User Interface Screenshot

17 - pix2code: Generating Code from a Graphical User Interface Screenshot

https://arxiv.org/abs/1705.07962

8 Jun 201713min

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