Our new X account is live! Follow @wizwand_team for updates

Multi-turn Response Selection on Douban Conversation Corpus

63.2MAP

TripleNet (Ensemble)

Updated 4d ago

Evaluation Results

Method
TripleNet (Ensemble) 2019.09	63.2	67.8	51.5	31.3	49.4	83.2
SA-BERT 2021.05	61.9	65.9	49.6	31.3	48.1	84.7
TripleNet (ELMo) 2019.09	60.9	65	47	27.8	48.7	81.4
BERT + SPIDER 2021.05	60.9	65	47.5	29.6	48.8	83.6
BERT 2021.05	60.5	64.7	47.4	29.1	47.8	84.9
BERT + SPIDER 2021.05	59.8	63.8	45.9	28.5	48.7	82.6
BERT 2021.05	58.8	63.1	45.3	27.7	46.4	81.8
MSN 2021.05	58.7	63.2	47	29.5	45.2	78.8
IoI 2021.05	57.3	62.1	44.4	26.9	45.1	78.6
MRFN 2021.05	57.1	61.7	44.8	27.6	43.5	78.3
TripleNet 2019.09	56.4	61.8	44.7	26.8	42.6	77.8
DUA 2019.09	55.1	59.9	42.1	24.3	42.1	78
DUA 2021.05	55.1	59.9	42.1	24.3	42.1	78
DAM 2019.09	55	60.1	42.7	25.4	41	75.7
DAM 2021.05	55	60.1	42.7	25.4	41	75.7
SMN 2019.09	52.9	56.9	39.7	23.3	39.6	72.4
SMN 2021.05	52.9	56.9	39.7	23.3	39.6	72.4
Multi-View 2019.09	50.5	54.3	34.2	20.2	35	72.9
MV-LSTM 2019.09	49.8	53.8	34.8	20.2	35.1	71.6
Match-LSTM 2019.09	49.8	53.8	34.8	20.2	34.8	71
DL2R 2019.09	48.8	52.7	33	19.3	34.2	70.5
DualEncoder 2019.09	48.5	52.7	32	18.7	34.3	72
IMN 2019.01	0.576	0.618	0.441	0.268	0.458	0.796
IMN 2019.01	0.57	0.615	0.433	0.262	0.452	0.789
U2U-IMN 2019.11	0.564	0.611	0.429	0.259	0.43	0.791
DUA 2018.06	0.551	0.599	0.421	0.243	0.421	0.78
DUA 2019.11	0.551	0.599	0.421	0.243	0.421	0.78
DUA 2019.01	0.551	0.599	0.421	0.243	0.421	0.78
DAM 2019.11	0.55	0.601	0.427	0.254	0.41	0.757
DAM 2019.01	0.55	0.601	0.427	0.254	0.41	0.757
SMNdynamic 2016.12	0.529	0.569	0.397	0.233	0.396	0.724
SMN 2018.06	0.529	0.569	0.397	0.233	0.396	0.724
SMN 2019.11	0.529	0.569	0.397	0.233	0.396	0.724
SMN 2019.01	0.529	0.569	0.397	0.233	0.396	0.724
SMNlast 2016.12	0.526	0.571	0.393	0.236	0.387	0.729
SMNstatic 2016.12	0.523	0.572	0.387	0.228	0.387	0.734
Multi-Channel 2016.12	0.506	0.543	0.349	0.203	0.351	0.709
Multi-Channel 2018.06	0.506	0.543	0.349	0.203	0.351	0.709
Multi-View 2016.12	0.505	0.543	0.342	0.202	0.35	0.729
Multi-View 2018.06	0.505	0.543	0.342	0.202	0.35	0.729
Multi-View 2019.11	0.505	0.543	0.342	0.202	0.35	0.729
Match-LSTM 2016.12	0.5	0.537	0.345	0.202	0.348	0.72
Match-LSTM 2018.06	0.5	0.537	0.345	0.202	0.348	0.72
Match-LSTM 2019.11	0.5	0.537	0.345	0.202	0.348	0.72
MV-LSTM 2016.12	0.498	0.538	0.348	0.202	0.351	0.71
MV-LSTM 2018.06	0.498	0.538	0.348	0.202	0.351	0.71
MV-LSTM 2019.11	0.498	0.538	0.348	0.202	0.351	0.71
Attentive-LSTM 2016.12	0.495	0.523	0.331	0.192	0.328	0.718
Attentive-LSTM 2018.06	0.495	0.523	0.331	0.192	0.328	0.718
DL2R 2016.12	0.488	0.527	0.33	0.193	0.342	0.705
DL2R 2018.06	0.488	0.527	0.33	0.193	0.342	0.705
DL2R 2019.11	0.488	0.527	0.33	0.193	0.342	0.705
LSTM 2016.12	0.485	0.527	0.32	0.187	0.343	0.72
LSTM 2018.06	0.485	0.537	0.32	0.187	0.343	0.72
LSTM 2019.11	0.485	0.527	0.32	0.187	0.343	0.72
BiLSTM 2016.12	0.479	0.514	0.313	0.184	0.33	0.716
BILSTM 2018.06	0.479	0.514	0.313	0.184	0.33	0.716
Multi-Channelexp 2016.12	0.476	0.515	0.317	0.179	0.335	0.691
Multi-Channel_exp 2018.06	0.476	0.515	0.317	0.179	0.335	0.691
CNN 2016.12	0.417	0.44	0.226	0.121	0.252	0.647
CNN 2018.06	0.417	0.44	0.226	0.121	0.252	0.647
RNN 2016.12	0.39	0.422	0.208	0.118	0.223	0.589
RNN 2018.06	0.39	0.422	0.208	0.118	0.223	0.589
RNN 2019.11	0.39	0.422	0.208	0.118	0.223	0.589
TF-IDF 2016.12	0.331	0.359	0.18	0.096	0.172	0.405
TF-IDF 2018.06	0.331	0.359	0.18	0.096	0.172	0.405
TF-IDF 2019.11	0.331	0.359	0.18	0.096	0.172	0.405