Mask-filling: Given a sequence of tables T and a question Q with [MASK], what is the word at [MASK]?
question Q：DSGFNet 55.8% 46.0% DS-DST ( 51.2% SOM-DST ( 53.0% MinTL-BART ( [MASK]% SST ( 55.2% TripPy ( 55.3% PPTOD ( 57.1% DSGFNet 56.7% relation aggregation layer in terms of joint goal accuracy decreases markedly compared to DSGFNet.
sequence of table T：
Model Joint GA Joint GA All MultiWOZ, - w / o Slot - Domain Membership Relations,2.2,Dataset DSGFNet,55.8, - w / o Slot - Domain Membership Relations,53.4, - w / o Dynamic Slot Relations,52.2, - w / o Relation Aggregation,55.2,Model Joint GA Joint GA All MultiWOZ, - w / o Slot - Domain Membership Relations,2.1,Dataset DSGFNet,56.7, - w / o Slot - Domain Membership Relations,54.1, - w / o Dynamic Slot Relations,53.2, - w / o Relation Aggregation,55.9,Model Joint GA Joint GA All MultiWOZ Domains SGD,Dataset DSGFNet,32.1, - w / o Slot - Domain Membership Relations,29.8, - w / o Dynamic Slot Relations,28.6, - w / o Relation Aggregation,31.5,Model Joint GA Joint GA Unseen MultiWOZ Domains SGD,Dataset DSGFNet,24.4, - w / o Slot - Domain Membership Relations,21.9, - w / o Dynamic Slot Relations,20.6, - w / o Relation Aggregation,23.8,Model Joint GA Joint GA Unseen Model Domains SGD Unseen Domains SGD,5.1,Table 5: Ablation study on unseen domains of SGD, all domains of SGD, MultiWOZ2.2 and MultiWOZ2.1.