3 papers
cs.CL2022
Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing
Melanie Rubino, Nicolas Guenon des Mesnards, Uday Shah +3
Deep learning methods have enabled task-oriented semantic parsing of increasingly complex utterances. However, a single model is still typically trained and deployed for each task…
cs.CL2021
Graph-Based Decoding for Task Oriented Semantic Parsing
Jeremy R. Cole, Nanjiang Jiang, Panupong Pasupat +2
The dominant paradigm for semantic parsing in recent years is to formulate parsing as a sequence-to-sequence task, generating predictions with auto-regressive sequence decoders. In…
cs.CL2021
He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics
Nanjiang Jiang, Marie-Catherine de Marneffe
We investigate how well BERT performs on predicting factuality in several existing English datasets, encompassing various linguistic constructions. Although BERT obtains a strong p…