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.

Tämä podcast on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi podcastin jaksot saattavat sisältää mainontaa.

Jaksot(145)

80 - Leaderboards and Science, with Siva Reddy

80 - Leaderboards and Science, with Siva Reddy

Originally used to entice fierce competitions in arcade games, leaderboards recently made their way into NLP research circles. Leaderboards could help mitigate some of the problems in how researchers ...

29 Tammi 201929min

79 - The glass ceiling in NLP, with Natalie Schluter

79 - The glass ceiling in NLP, with Natalie Schluter

In this episode, Natalie Schluter talks to us about a data-driven analysis of career progression of male vs. female researchers in NLP through the lens of mentor-mentee networks based on ~20K papers i...

21 Tammi 201926min

78. Where do corpora come from?, with Matt Honnibal and Ines Montani

78. Where do corpora come from?, with Matt Honnibal and Ines Montani

Most NLP projects rely crucially on the quality of annotations used for training and evaluating models. In this episode, Matt and Ines of Explosion AI tell us how Prodigy can improve data annotation a...

15 Tammi 201930min

77. On Writing Quality Peer Reviews, with Noah A. Smith

77. On Writing Quality Peer Reviews, with Noah A. Smith

It's not uncommon for authors to be frustrated with the quality of peer reviews they receive in (NLP) conferences. In this episode, Noah A. Smith shares his advice on how to write good peer reviews. T...

7 Tammi 201938min

76 - Increasing In-Class Similarity by Retrofitting Embeddings with Demographics, with Dirk Hovy

76 - Increasing In-Class Similarity by Retrofitting Embeddings with Demographics, with Dirk Hovy

EMNLP 2018 paper by Dirk Hovy and Tommaso Fornaciari. https://www.semanticscholar.org/paper/Improving-Author-Attribute-Prediction-by-Linguistic-Hovy-Fornaciari/71aad8919c864f73108aafd8e926d44e9df51615...

27 Marras 201829min

75 - Reinforcement / Imitation Learning in NLP, with Hal Daumé III

75 - Reinforcement / Imitation Learning in NLP, with Hal Daumé III

In this episode, we invite Hal Daumé to continue the discussion on reinforcement learning, focusing on how it has been used in NLP. We discuss how to reduce NLP problems into the reinforcement learnin...

21 Marras 201843min

74 - Deep Reinforcement Learning Doesn't Work Yet, with Alex Irpan

74 - Deep Reinforcement Learning Doesn't Work Yet, with Alex Irpan

Blog post by Alex Irpan titled "Deep Reinforcement Learning Doesn't Work Yet" https://www.alexirpan.com/2018/02/14/rl-hard.html In this episode, Alex Irpan talks about limitations of current deep rei...

16 Marras 201840min

73 - Supersense Disambiguation of English Prepositions and Possessives, with Nathan Schneider

73 - Supersense Disambiguation of English Prepositions and Possessives, with Nathan Schneider

ACL 2018 paper by Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan, Omri Abend. In this episode, Nathan discusses how the mean...

13 Marras 201852min

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