137 episodes

Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. The hosts are the members of the AllenNLP team at Allen Institute for AI. All views expressed belong to the hosts and guests and do not represent their employers.

NLP Highlights Allen Institute for Artificial Intelligence

    • Science
    • 4.5 • 20 Ratings

Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. The hosts are the members of the AllenNLP team at Allen Institute for AI. All views expressed belong to the hosts and guests and do not represent their employers.

    136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani

    136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani

    In this episode, we talk with Kayo Yin, an incoming PhD at Berkeley, and Malihe Alikhani, an assistant professor at the University of Pittsburgh, about opportunities for the NLP community to contribute to Sign Language Processing (SLP). We talked about history and misconceptions about sign languages, high-level similarities and differences between spoken and sign languages, distinct linguistic features of signed languages, representations, computational resources, SLP tasks, and suggestions for better design and implementation of SLP models.

    • 1 hr 2 min
    135 - PhD Application Series: After Submitting Applications

    135 - PhD Application Series: After Submitting Applications

    This episode is the third in our current series on PhD applications.

    We talk about what the PhD application process looks like after applications are submitted. We start with a general overview of the timeline, then talk about how to approach interviews and conversations with faculty, and finish by discussing the different factors to consider in deciding between programs.

    The guests for this episode are Rada Mihalcea (Professor at the University of Michigan), Aishwarya Kamath (PhD student at NYU), and Sanjay Subramanian (PhD student at UC Berkeley).

    Homepages:
    - Aishwarya Kamath: https://ashkamath.github.io/
    - Sanjay Subramanian: https://sanjayss34.github.io/
    - Rada Mihalcea: https://web.eecs.umich.edu/~mihalcea/

    The hosts for this episode are Alexis Ross and Nishant Subramani.

    • 36 min
    134 - PhD Application Series: PhDs in Europe versus the US, with Barbara Plank and Gonçalo Correia

    134 - PhD Application Series: PhDs in Europe versus the US, with Barbara Plank and Gonçalo Correia

    This episode is the second in our current series on PhD applications.

    How do PhD programs in Europe differ from PhD programs in the US, and how should people decide between them? In this episode, we invite Barbara Plank (Professor at ITU, IT University of Copenhagen) and Gonçalo Correia (ELLIS PhD student at University of Lisbon and University of Amsterdam) to share their perspectives on this question.

    We start by talking about the main differences between pursuing a PhD in Europe and the US. We then talk about the application requirements for European PhD programs and factors to consider when deciding whether to apply in Europe or the US. We conclude by talking about the ELLIS PhD program, a relatively new program for PhD students that facilitates collaborations across Europe.

    ELLIS PhD program: https://ellis.eu/phd-postdoc (Application Deadline: November 15, 2021)

    Homepages:
    - Barbara Plank: https://bplank.github.io/
    - Gonçalo Correia: https://goncalomcorreia.github.io/

    The hosts for this episode are Alexis Ross and Zhaofeng Wu.

    • 38 min
    133 - PhD Application Series: Preparing Application Materials, with Nathan Schneider and Roma Patel

    133 - PhD Application Series: Preparing Application Materials, with Nathan Schneider and Roma Patel

    This episode is the first in our current series on PhD applications.

    How should people prepare their applications to PhD programs in NLP? In this episode, we invite Nathan Schneider (Professor of Linguistics and Computer Science at Georgetown University) and Roma Patel (PhD student in Computer Science at Brown University) to share their perspectives on preparing application materials.

    We start by talking about what factors should go into the decision to apply for PhD programs and how to gain relevant experience. We then talk about the most important parts of an application, focusing particularly on how to write a strong statement of purpose and choose recommendation letter writers.

    Blog posts mentioned in this episode:
    - Nathan Schneider’s Advice on Statements of Purpose: https://nschneid.medium.com/inside-ph-d-admissions-what-readers-look-for-in-a-statement-of-purpose-3db4e6081f80
    - Student Perspectives on Applying to NLP PhD Programs: https://blog.nelsonliu.me/2019/10/24/student-perspectives-on-applying-to-nlp-phd-programs/

    Homepages:
    - Nathan Schneider: https://people.cs.georgetown.edu/nschneid/
    - Roma Patel: http://cs.brown.edu/people/rpatel59/

    The hosts for this episode are Alexis Ross and Nishant Subramani.

    • 43 min
    132 - Alexa Prize Socialbot Grand Challenge and Alquist 4.0, with Petr Marek

    132 - Alexa Prize Socialbot Grand Challenge and Alquist 4.0, with Petr Marek

    In this episode, we discussed the Alexa Prize Socialbot Grand Challenge and this year's winning submission, Alquist 4.0, with Petr Marek, a member of the winning team. Petr gave us an overview of their submission, the design choices that led to them winning the competition, including combining a hardcoded dialog tree and a neural generator model and extracting implicit personal information about users from their responses, and some outstanding challenges.

    Petr Marek is a PhD student at the Czech Technical University in Prague.

    More about the Alexa Prize challenges: https://developer.amazon.com/alexaprize

    Technical report on Alquist 4.0: https://arxiv.org/abs/2109.07968

    • 41 min
    131 - Opportunities and Barriers between HCI and NLP, with Nanna Inie and Leon Derczynski

    131 - Opportunities and Barriers between HCI and NLP, with Nanna Inie and Leon Derczynski

    What can NLP researchers learn from Human Computer Interaction (HCI) research? We chatted with Nanna Inie and Leon Derczynski to find out. We discussed HCI's research processes including methods of inquiry, the data annotation processes used in HCI, and how they are different from NLP, and the cognitive methods used in HCI for qualitative error analyses. We also briefly talked about the opportunities the field of HCI presents for NLP researchers.

    This discussion is based on the following paper: https://aclanthology.org/2021.hcinlp-1.16/

    Nanna Inie is a postdoctoral researcher and Leon Derczynski is an associate professor in CS at the IT University of Copenhagen.

    The hosts for this episode are Ana Marasović and Pradeep Dasigi.

    • 46 min

Customer Reviews

4.5 out of 5
20 Ratings

20 Ratings

SambersCurtis ,

The only NLP Podcast

It’s nice that they are covering NLP. I’m not able to find anyone else that is doing that specifically. However, the hosts always try to punch holes in the guests theories. So they are always on the defensive. It makes for really unpleasant discussions.

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