@inproceedings{shin2021constrained,
author = {Shin, Richard and H. Lin, Christopher and Thomson, Sam and Chen, Charles and Roy, Subhro and Platanios, Emmanouil Antonios and Pauls, Adam and Klein, Dan and Eisner, Jason and Van Durme, Ben},
title = {Constrained Language Models Yield Few-Shot Semantic Parsers},
booktitle = {EMNLP 2021},
year = {2021},
month = {November},
abstract = {We explore the use of large pretrained language models as few-shot semantic parsers. The goal in semantic parsing is to generate a structured meaning representation given a natural language input. However, language models are trained to generate natural language. To bridge the gap, we use language models to paraphrase inputs into a controlled sublanguage resembling English that can be automatically mapped to a target meaning representation. With a small amount of data and very little code to convert into English-like representations, we provide a blueprint for rapidly bootstrapping semantic parsers and demonstrate good performance on multiple tasks.},
url = {http://approjects.co.za/?big=en-us/research/publication/constrained-language-models-yield-few-shot-semantic-parsers/},
}