![NLP Highlights artwork](https://is1-ssl.mzstatic.com/image/thumb/Podcasts127/v4/a8/49/90/a849903a-65af-d8fc-07a7-c0d1bbf826a6/mza_4767231250788281707.jpg/100x100bb.jpg)
124 - Semantic Machines and Task-Oriented Dialog, with Jayant Krishnamurthy and Hao Fang
NLP Highlights
English - April 14, 2021 00:12 - 45 minutes - 41.7 MB - ★★★★★ - 22 ratingsScience Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: 123 - Robust NLP, with Robin Jia
Next Episode: 125 - VQA for Real Users, with Danna Gurari
We invited Jayant Krishnamurthy and Hao Fang, researchers at Microsoft Semantic Machines to discuss their platform for building task-oriented dialog systems, and their recent TACL paper on the topic. The paper introduces a new formalism for task-oriented dialog to effectively handle references and revisions in complex dialog, and a large realistic dataset that uses this formalism.
Leaderboard associated with the dataset: https://microsoft.github.io/task_oriented_dialogue_as_dataflow_synthesis/
Jayant's Twitter handle: https://twitter.com/jayantkrish
Hao's Twitter handle: https://twitter.com/hfang90