Graph-Based Decoding for Task Oriented Semantic Parsing

Understand

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 this work, we explore an alternative paradigm.
• We formulate semantic parsing as a dependency parsing task, applying graph-based decoding techniques developed for syntactic parsing.
• We compare various decoding techniques given the same pre-trained Transformer encoder on the TOP dataset, including settings where training data is limited or contains only partially-annotated examples.