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)

112 - Alignment of Multilingual Contextual Representations, with Steven Cao

112 - Alignment of Multilingual Contextual Representations, with Steven Cao

We invited Steven Cao to talk about his paper on multilingual alignment of contextual word embeddings. We started by discussing how multilingual transformers work in general, and then focus on Steven’...

13 Mai 202033min

111 - Typologically diverse, multi-lingual, information-seeking questions, with Jon Clark

111 - Typologically diverse, multi-lingual, information-seeking questions, with Jon Clark

We invited Jon Clark from Google to talk about TyDi QA, a new question answering dataset, for this episode. The dataset contains information seeking questions in 11 languages that are typologically di...

27 Apr 202038min

110 - Natural Questions, with Tom Kwiatkowski and Michael Collins

110 - Natural Questions, with Tom Kwiatkowski and Michael Collins

In this episode, Tom Kwiatkowski and Michael Collins talk about Natural Questions, a benchmark for question answering research. We discuss how the dataset was collected to reflect naturally-occurring ...

6 Apr 202043min

109 - What Does Your Model Know About Language, with Ellie Pavlick

109 - What Does Your Model Know About Language, with Ellie Pavlick

How do we know, in a concrete quantitative sense, what a deep learning model knows about language? In this episode, Ellie Pavlick talks about two broad directions to address this question: structural ...

30 Mar 202046min

108 - Data-To-Text Generation, with Verena Rieser and Ondřej Dušek

108 - Data-To-Text Generation, with Verena Rieser and Ondřej Dušek

In this episode we invite Verena Rieser and Ondřej Dušek on to talk to us about the complexities of generating natural language when you have some kind of structured meaning representation as input....

23 Mar 202049min

107 - Multi-Modal Transformers, with Hao Tan and Mohit Bansal

107 - Multi-Modal Transformers, with Hao Tan and Mohit Bansal

In this episode, we invite Hao Tan and Mohit Bansal to talk about multi-modal training of transformers, focusing in particular on their EMNLP 2019 paper that introduced LXMERT, a vision+language trans...

24 Feb 202037min

106 - Ethical Considerations In NLP Research, with Emily Bender

106 - Ethical Considerations In NLP Research, with Emily Bender

In this episode, we talked to Emily Bender about the ethical considerations in developing NLP models and putting them in production. Emily cited specific examples of ethical issues, and talked about t...

17 Feb 202039min

105 - Question Generation, with Sudha Rao

105 - Question Generation, with Sudha Rao

In this episode we invite Sudha Rao to talk about question generation. We talk about different settings where you might want to generate questions: for human testing scenarios (rare), for data augmen...

10 Feb 202042min

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