Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection

Benchmark Model Rank Results
conversational-response-selection-on-douban-1UMS_BERT+#6MAP: 0.625MRR: 0.664P@1: 0.499R10@1: 0.318R10@2: 0.482
conversational-response-selection-on-eUMS_BERT+#4R10@1: 0.762R10@2: 0.905R10@5: 0.986
conversational-response-selection-on-ubuntu-1UMS_BERT+#7R10@1: 0.875R10@2: 0.942R10@5: 0.988