220 citations · 287 across the 5 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CL2020
ConVEx: Data-Efficient and Few-Shot Slot Labeling
Matthew Henderson, Ivan Vulić
We propose ConVEx (Conversational Value Extractor), an efficient pretraining and fine-tuning neural approach for slot-labeling dialog tasks. Instead of relying on more general pret…
cs.CL2020
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations
Sam Coope, Tyler Farghly, Daniela Gerz +2
We introduce Span-ConveRT, a light-weight model for dialog slot-filling which frames the task as a turn-based span extraction task. This formulation allows for a simple integration…
cs.CL2020
Efficient Intent Detection with Dual Sentence Encoders
Iñigo Casanueva, Tadas Temčinas, Daniela Gerz +2
Building conversational systems in new domains and with added functionality requires resource-efficient models that work under low-data regimes (i.e., in few-shot setups). Motivate…