In this episode we briefly say what we're up to with the podcast.  No technical content, just a description of what each episode will look like, and why we're doing this.

00 - Intro to the podcast

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 questions, the criteria used for identifying short and long answers, how this dataset differs from other QA datasets, and how easy it might be to game the benchmark with superficial processing of the text. We also contrast the holistic design in Natural Questions to deliberately targeting specific linguistic phenomena of interest when building a QA dataset.

Dataset: https://ai.google.com/research/NaturalQuestions
Paper: https://www.mitpressjournals.org/doi/full/10.1162/tacl_a_00276

110 - Natural Questions, with Tom Kwiatkowski and Michael Collins

The Foundations of NLP - An NLP Introduction by Toby and Kate McCartney

1 A. Introduction

We are Niggastopheles, if you please. We are Niggastopheles, if you don't please...