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

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

8 June 2021
Marco Damonte
Emilio Monti
    AIMat
ArXivPDFHTML

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

4 / 4 papers shown
Title
State-of-the-art generalisation research in NLP: A taxonomy and review
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
114
93
0
06 Oct 2022
Broad-Coverage Semantic Parsing as Transduction
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
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
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
297
6,956
0
20 Apr 2018
1