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STN4DST: A Scalable Dialogue State Tracking based on Slot Tagging Navigation
[article]
2021
arXiv
pre-print
Scalability for handling unknown slot values is a important problem in dialogue state tracking (DST). As far as we know, previous scalable DST approaches generally rely on either the candidate generation from slot tagging output or the span extraction in dialogue context. However, the candidate generation based DST often suffers from error propagation due to its pipelined two-stage process; meanwhile span extraction based DST has the risk of generating invalid spans in the lack of semantic
arXiv:2010.10811v2
fatcat:rgdb64ncbndnnbijhntf3h4tyi