Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations

3 November 2020

Papers citing "Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations"

5 / 5 papers shown

Title
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge Hayato Futami Jessica Huynh Siddhant Arora Shih-Lun Wu Yosuke Kashiwagi Yifan Peng Brian Yan E. Tsunoo Shinji Watanabe 38 4 0 02 May 2023
Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models Weiqi Sun Haidar Khan Nicolas Guenon des Mesnards M. Rubino Konstantine Arkoudas 50 5 0 05 Mar 2022
Improving Compositional Generalization with Latent Structure and Data Augmentation Linlu Qiu Peter Shaw Panupong Pasupat Pawel Krzysztof Nowak Tal Linzen Fei Sha Kristina Toutanova CoGe 35 57 0 14 Dec 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization I. Oren Jonathan Herzig Jonathan Berant 40 31 0 06 Sep 2021
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 233 315 0 04 Mar 2020