BERT-DST applies a BERT encoder with cross-slot parameter sharing to directly extract slot values from dialogue context, outperforming priors on scalable DST benchmarks Sim-M and Sim-R while remaining competitive on DSTC2 and WOZ 2.0.
Towards universal dialogue state tracking,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer
BERT-DST applies a BERT encoder with cross-slot parameter sharing to directly extract slot values from dialogue context, outperforming priors on scalable DST benchmarks Sim-M and Sim-R while remaining competitive on DSTC2 and WOZ 2.0.