Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing


Sep 29, 2022
Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha

* To appear in the proceedings of COLING 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing


May 24, 2022
Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Improving Compositional Generalization with Latent Structure and Data Augmentation


Dec 14, 2021
Linlu Qiu, Peter Shaw, Panupong Pasupat, Paweł Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks


Nov 09, 2021
Wang Zhu, Peter Shaw, Tal Linzen, Fei Sha


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

The Variability of Model Specification


Oct 06, 2021
Joseph R. Barr, Peter Shaw, Marcus Sobel

* 8 pages, 1 figure 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Visually Grounded Concept Composition


Sep 29, 2021
Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha

* Findings of EMNLP 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?


Sep 25, 2021
Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha

* EMNLP 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Graph-Based Decoding for Task Oriented Semantic Parsing


Sep 09, 2021
Jeremy R. Cole, Nanjiang Jiang, Panupong Pasupat, Luheng He, Peter Shaw

* To appear in EMNLP 5 pages 4 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations


Apr 15, 2021
Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?


Oct 24, 2020
Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>