Skip to content
67 - GLUE: A Multi-Task Benchmark and Analysis Platform, with Sam Bowman episode artwork

EPISODE · Aug 27, 2018 · 39 MIN

67 - GLUE: A Multi-Task Benchmark and Analysis Platform, with Sam Bowman

from NLP Highlights · host Allen Institute for Artificial Intelligence

Paper by Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. Sam comes on to tell us about GLUE. We talk about the motivation behind setting up a benchmark framework for natural language understanding, how the authors defined "NLU" and chose the tasks for this benchmark, a very nice diagnostic dataset that was constructed for GLUE, and what insight they gained from the experiments they've run so far. We also have some musings about the utility of general-purpose sentence vectors, and about leaderboards. https://www.semanticscholar.org/paper/GLUE%3A-A-Multi-Task-Benchmark-and-Analysis-Platform-Wang-Singh/a2054eff8b4efe0f1f53d88c08446f9492ae07c1

Episode metadata supplied by the publisher feed · Published Aug 27, 2018

Embed this episode

Ready to play

67 - GLUE: A Multi-Task Benchmark and Analysis Platform, with Sam Bowman

0:00 39:17

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

Frequently Asked Questions

How long is this episode of NLP Highlights?

This episode is 39 minutes long.

When was this NLP Highlights episode published?

This episode was published on August 27, 2018.

Can I download this NLP Highlights episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!