One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets

8 June 2021

Papers citing "One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets"

6 / 6 papers shown

Title
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 121 94 0 06 Oct 2022
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation L. Nie S. Cao Jiaxin Shi Jiu Sun Qingwen Tian Lei Hou Juanzi Li Jidong Zhai GNN 58 20 0 24 May 2022
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs Liang Chen Peiyi Wang Runxin Xu Tianyu Liu Zhifang Sui Baobao Chang 44 14 0 19 Apr 2022
Broad-Coverage Semantic Parsing as Transduction Sheng Zhang Xutai Ma Kevin Duh Benjamin Van Durme 43 73 0 05 Sep 2019
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback Carolin (Haas) Lawrence Stefan Riezler OffRL 173 56 0 03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018