38 - A Corpus of Natural Language for Visual Reasoning, with Alane Suhr - podcast episode cover

38 - A Corpus of Natural Language for Visual Reasoning, with Alane Suhr

Oct 30, 201723 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

ACL 2017 best resource paper, by Alane Suhr, Mike Lewis, James Yeh, and Yoav Artzi Alane joins us on the podcast to tell us about the dataset, which contains images paired with natural language descriptions of the images, where the task is to decide whether the description is true or false. Alane tells us about the motivation for creating the new dataset, how it was constructed, the way they elicited complex language from crowd workers, and why the dataset is an interesting target for future research. https://www.semanticscholar.org/paper/A-Corpus-of-Natural-Language-for-Visual-Reasoning-Suhr-Lewis/633453fb633c3c8695f3cd0e6b5350e971058bed
For the best experience, listen in Metacast app for iOS or Android