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)

64 - Neural Network Models for Sentence Pair Tasks, with Wuwei Lan and Wei Xu

64 - Neural Network Models for Sentence Pair Tasks, with Wuwei Lan and Wei Xu

Best reproduction paper at COLING 2018, by Wuwei Lan and Wei Xu. This paper takes a bunch of models for sentence pair classification (including paraphrase identification, semantic textual similarity,...

8 Aug 201836min

63 - Neural Lattice Language Models, with Jacob Buckman

63 - Neural Lattice Language Models, with Jacob Buckman

TACL 2018 paper by Jacob Buckman and Graham Neubig. Jacob tells us about marginalizing over latent structure in a sentence by doing a clever parameterization of a lattice with a model kind of like a...

2 Aug 201830min

62 - Sounding Board: A User-Centric and Content-Driven Social Chatbot, with Hao Fang

62 - Sounding Board: A User-Centric and Content-Driven Social Chatbot, with Hao Fang

NAACL 2018 demo paper, by Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, and Mari Ostendorf Sounding Board was the system that won the 2017 Amazon Alexa ...

30 Jul 201831min

61 - Neural Text Generation in Stories, with Elizabeth Clark and Yangfeng Ji

61 - Neural Text Generation in Stories, with Elizabeth Clark and Yangfeng Ji

NAACL 2018 Outstanding Paper by Elizabeth Clark, Yangfeng Ji, and Noah A. Smith Both Elizabeth and Yangfeng come on the podcast to tell us about their work. This paper is an extension of an EMNLP 20...

23 Jul 201830min

60 - FEVER: a large-scale dataset for Fact Extraction and VERification, with James Thorne

60 - FEVER: a large-scale dataset for Fact Extraction and VERification, with James Thorne

NAACL 2018 paper by James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal James tells us about his paper, where they created a dataset for fact checking. We talk about how thi...

28 Jun 201828min

59 - Weakly Supervised Semantic Parsing With Abstract Examples, with Omer Goldman

59 - Weakly Supervised Semantic Parsing With Abstract Examples, with Omer Goldman

ACL 2018 paper by Omer Goldman, Veronica Latcinnik, Udi Naveh, Amir Globerson, and Jonathan Berant Omer comes on to tell us about a class project (done mostly by undergraduates!) that made it into AC...

12 Jun 201835min

58 - Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers, with André Martins

58 - Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers, with André Martins

EMNLP 2017 paper by André F. T. Martins and Julia Kreutzer André comes on the podcast to talk to us the paper. We spend the bulk of the time talking about the two main contributions of the paper: ho...

8 Jun 201847min

57 - A Survey Of Cross-lingual Word Embedding Models, with Sebastian Ruder

57 - A Survey Of Cross-lingual Word Embedding Models, with Sebastian Ruder

Upcoming JAIR paper by Sebastian Ruder, Ivan Vulić, and Anders Søgaard. Sebastian comes on to tell us about his survey. He creates a typology of cross-lingual word embedding methods, and we discuss ...

5 Jun 201831min

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