BioASQ Participants Area

Task 8b: Test Results of Phase B

The test results are presented in separate tables for each type of annotation. The "System Description" of each system is used.
The evaluation measures that are used in Task B are presented here .
Warning: For ideal answers, good ROUGE results do not always imply good manual scores.

Test batch 1

Exact Answers

	Yes/No				Factoid			List
System	Accuracy	F1 Yes	F1 No	Macro F1	Strict Acc.	Lenient Acc.	MRR	Mean Prec.	Recall	F-Measure
pa-base	0.6800	0.8095	-	0.4048	0.2188	0.5000	0.3542	0.2750	0.2250	0.2305
pa	0.6800	0.8095	-	0.4048	0.2188	0.5000	0.3542	0.3884	0.5629	0.4315
AUEB-System1	0.6800	0.8095	-	0.4048	0.0313	0.0625	0.0469	0.0333	0.0417	0.0367
AUEB-System3	0.6800	0.8095	-	0.4048	0.0000	0.0313	0.0078	0.0200	0.0333	0.0250
AUEB-System4	0.6800	0.8095	-	0.4048	0.0313	0.0625	0.0469	0.0500	0.0750	0.0597
AUEB-System5	0.6800	0.8095	-	0.4048	0.0313	0.1563	0.0714	0.1008	0.1308	0.1095
UoT_baseline	0.6800	0.8095	-	0.4048	0.3125	0.5938	0.4266	0.3461	0.2933	0.2918
UoT_allquestions	0.6800	0.8095	-	0.4048	0.2813	0.5938	0.4099	0.3842	0.3200	0.3262
BJUTNLPGroup	0.6800	0.8095	-	0.4048	0.2813	0.4063	0.3307	0.1800	0.5458	0.2652
MQ-5	0.6800	0.8095	-	0.4048	-	-	-	-	-	-
MQ-1	0.6800	0.8095	-	0.4048	-	-	-	-	-	-
MQ-2	0.6800	0.8095	-	0.4048	-	-	-	-	-	-
MQ-3	0.6800	0.8095	-	0.4048	-	-	-	-	-	-
bio-answerfinder	0.6800	0.8095	-	0.4048	0.0625	0.2188	0.1406	0.1511	0.3671	0.1673
Umass_czi_1	0.6800	0.7778	0.4286	0.6032	0.3750	0.5938	0.4688	-	-	-
MQ-4	0.6800	0.8095	-	0.4048	-	-	-	-	-	-
Umass_czi_2	0.5600	0.6857	0.2667	0.4762	0.2500	0.3438	0.2891	0.4875	0.2983	0.3448
Umass_czi_3	0.6800	0.7778	0.4286	0.6032	0.2500	0.3438	0.2891	0.4875	0.2983	0.3448
Umass_czi_4	0.6400	0.7273	0.4706	0.5989	0.2188	0.4375	0.3005	0.4875	0.2983	0.3448
NCU-IISR_1	0.7600	0.8235	0.6250	0.7243	-	-	-	-	-	-
Umass_czi_5	0.6400	0.7429	0.4000	0.5714	0.2188	0.4375	0.3005	0.1350	0.0767	0.0967
FudanLabZhu1	0.6000	0.7368	0.1667	0.4518	0.3750	0.5938	0.4557	0.4250	0.3067	0.3408
FudanLabZhu4	0.6000	0.7368	0.1667	0.4518	0.3125	0.5938	0.4219	0.4250	0.3067	0.3408
auth-qa-1	0.6800	0.8095	-	0.4048	0.0625	0.1563	0.1094	0.0325	0.0583	0.0417
kmeans	-	-	-	-	-	-	-	-	-	-
KoreaUniv-DMIS-2	0.8400	0.8824	0.7500	0.8162	0.3438	0.6250	0.4583	0.4367	0.3100	0.3333
KoreaUniv-DMIS-3	0.8800	0.9143	0.8000	0.8571	0.2500	0.6250	0.3979	0.3908	0.3100	0.3152
simple truncation	-	-	-	-	-	-	-	-	-	-
KoreaUniv-DMIS-1	0.7600	0.8235	0.6250	0.7243	0.1250	0.4375	0.2615	0.4333	0.3425	0.3597
KoreaUniv-DMIS-4	0.7600	0.8235	0.6250	0.7243	0.3125	0.6250	0.4344	0.4450	0.3325	0.3516
KoreaUniv-DMIS-5	0.8800	0.9091	0.8235	0.8663	0.3438	0.5938	0.4438	0.4733	0.3633	0.3718
BioASQ_Baseline	0.4000	0.2857	0.4828	0.3842	0.1563	0.2813	0.2016	0.1322	0.3483	0.1839

Ideal Answers

	Automatic scores (Rouge - R)				Manual scores
System	R-2 (Rec)	R-2 (F1)	R-SU4 (Rec)	R-SU4 (F1)	Readability	Recall	Precision	Repetition
pa-base	0.1040	0.1061	0.1036	0.1058	0.94	1.04	1.07	1.10
pa	0.1040	0.1061	0.1036	0.1058	0.94	1.04	1.07	1.10
AUEB-System1	0.0944	0.0495	0.0978	0.0496	0.64	1.00	0.66	0.84
AUEB-System3	0.0563	0.0278	0.0636	0.0312	0.62	0.78	0.65	0.94
AUEB-System4	0.0163	0.0056	0.0246	0.0099	0.52	0.45	0.35	0.83
AUEB-System5	0.0595	0.0282	0.0659	0.0317	0.57	0.77	0.58	0.84
UoT_baseline	-	-	-	-	-	-	-	-
UoT_allquestions	-	-	-	-	-	-	-	-
BJUTNLPGroup	0.0794	0.0976	0.0633	0.0731	2.46	2.51	3.08	3.68
MQ-5	0.4616	0.3331	0.4740	0.3295	3.85	4.23	3.88	4.20
MQ-1	0.5322	0.3339	0.5412	0.3276	3.63	4.37	3.83	3.95
MQ-2	0.5671	0.3487	0.5732	0.3417	3.62	4.33	3.78	3.94
MQ-3	0.5789	0.3568	0.5834	0.3481	3.63	4.33	3.83	3.92
bio-answerfinder	0.4515	0.3289	0.4543	0.3236	3.74	3.88	3.69	4.24
Umass_czi_1	-	-	-	-	-	-	-	-
MQ-4	0.5401	0.3365	0.5492	0.3301	3.62	4.33	3.81	3.90
Umass_czi_2	-	-	-	-	-	-	-	-
Umass_czi_3	-	-	-	-	-	-	-	-
Umass_czi_4	-	-	-	-	-	-	-	-
NCU-IISR_1	0.1699	0.1923	0.1735	0.1935	3.52	3.26	3.59	4.46
Umass_czi_5	-	-	-	-	-	-	-	-
FudanLabZhu1	-	-	-	-	-	-	-	-
FudanLabZhu4	-	-	-	-	-	-	-	-
auth-qa-1	-	-	-	-	-	-	-	-
kmeans	0.5566	0.3208	0.5609	0.3129	3.33	4.35	3.70	3.92
KoreaUniv-DMIS-2	-	-	-	-	-	-	-	-
KoreaUniv-DMIS-3	-	-	-	-	-	-	-	-
simple truncation	0.3841	0.3385	0.3896	0.3339	3.93	4.07	4.13	4.62
KoreaUniv-DMIS-1	0.2326	0.1576	0.2509	0.1651	3.79	3.50	3.49	4.37
KoreaUniv-DMIS-4	0.1957	0.1887	0.2021	0.1898	4.09	3.40	3.60	4.54
KoreaUniv-DMIS-5	0.1960	0.1895	0.2019	0.1902	4.07	3.37	3.61	4.53
BioASQ_Baseline	-	-	-	-	-	-	-	-

Test batch 2

Exact Answers

	Yes/No				Factoid			List
System	Accuracy	F1 Yes	F1 No	Macro F1	Strict Acc.	Lenient Acc.	MRR	Mean Prec.	Recall	F-Measure
BJUTNLPGroup	0.7500	0.8571	-	0.4286	0.0800	0.3200	0.1747	0.1429	0.4619	0.2027
AUEB-System1	0.7500	0.8571	-	0.4286	-	-	-	0.0179	0.0179	0.0179
AUEB-System2	0.7500	0.8571	-	0.4286	-	-	-	0.0143	0.0238	0.0179
AUEB-System3	0.7500	0.8571	-	0.4286	0.0000	0.0400	0.0100	-	-	-
AUEB-System4	0.7500	0.8571	-	0.4286	0.0000	0.0800	0.0280	0.0429	0.0524	0.0429
AUEB-System5	0.7500	0.8571	-	0.4286	-	-	-	0.0667	0.0821	0.0672
auth-qa-1	0.7778	0.8621	0.4286	0.6453	0.0000	0.0800	0.0233	0.0845	0.1238	0.0944
bio-answerfinder	0.7778	0.8621	0.4286	0.6453	0.2000	0.2400	0.2080	0.3693	0.4714	0.3803
UoT_baseline	0.7500	0.8571	-	0.4286	0.1600	0.4400	0.2580	0.5361	0.4476	0.4306
Best yesno	0.7500	0.8571	-	0.4286	0.1600	0.4400	0.2580	0.5361	0.4476	0.4306
UoT_multitask_learn	0.8333	0.9000	0.5000	0.7000	0.2000	0.4000	0.2800	0.4643	0.4214	0.4108
UoT_allquestions	0.7778	0.8710	0.2000	0.5355	0.1600	0.4800	0.2540	0.4107	0.3738	0.3712
MQ-1	-	-	-	-	-	-	-	-	-	-
Best factoid	0.7500	0.8571	-	0.4286	0.1200	0.4400	0.2413	0.4827	0.4071	0.3950
Umass_czi_2	0.7778	0.8519	0.5556	0.7037	0.0800	0.2400	0.1333	-	-	-
Umass_czi_1	0.7222	0.8148	0.4444	0.6296	0.1200	0.2000	0.1480	-	-	-
NCU-IISR_1	0.7778	0.8519	0.5556	0.7037	0.2800	0.4400	0.3293	0.3214	0.2381	0.2667
MQ-2	0.7500	0.8571	-	0.4286	-	-	-	-	-	-
MQ-3	0.7500	0.8571	-	0.4286	-	-	-	-	-	-
MQ-4	0.7500	0.8571	-	0.4286	-	-	-	-	-	-
simple truncation	-	-	-	-	-	-	-	-	-	-
MQ-5	0.7500	0.8571	-	0.4286	-	-	-	-	-	-
Multitask SBERT Cls	0.7500	0.8571	-	0.4286	-	-	-	-	-	-
Multitask SBERT reg	0.7500	0.8571	-	0.4286	-	-	-	-	-	-
sbert cls	0.7500	0.8571	-	0.4286	-	-	-	-	-	-
sbert reg	0.7500	0.8571	-	0.4286	-	-	-	-	-	-
pa-base	0.2500	-	0.4000	0.2000	0.1200	0.4000	0.2300	0.1012	0.0619	0.0702
FudanLabZhu1	0.6944	0.7843	0.4762	0.6303	0.2800	0.4000	0.3200	0.3631	0.2976	0.3112
FudanLabZhu3	0.6944	0.7843	0.4762	0.6303	0.2000	0.3200	0.2413	0.5417	0.5024	0.4678
kmeans	-	-	-	-	-	-	-	-	-	-
FudanLabZhu4	0.6944	0.7843	0.4762	0.6303	0.2400	0.3600	0.2900	0.5417	0.5024	0.4678
KoreaUniv-DMIS-1	0.9444	0.9630	0.8889	0.9259	0.1200	0.3200	0.1967	0.5643	0.4643	0.4735
KoreaUniv-DMIS-2	0.9167	0.9434	0.8421	0.8928	0.1600	0.3600	0.2367	0.5060	0.3667	0.4029
KoreaUniv-DMIS-5	0.8889	0.9259	0.7778	0.8519	0.1600	0.3600	0.2193	0.4821	0.3667	0.3985
KoreaUniv-DMIS-3	0.9444	0.9630	0.8889	0.9259	0.1200	0.3200	0.2000	0.5500	0.4214	0.4544
KoreaUniv-DMIS-4	0.9167	0.9434	0.8421	0.8928	0.2800	0.4400	0.3533	0.4881	0.3381	0.3798
pa	0.2500	-	0.4000	0.2000	0.1200	0.4400	0.2360	0.3418	0.4881	0.3441
BioASQ_Baseline	0.3611	0.3784	0.3429	0.3606	0.0800	0.1200	0.1000	0.2196	0.5929	0.2858

Ideal Answers

	Automatic scores (Rouge - R)				Manual scores
System	R-2 (Rec)	R-2 (F1)	R-SU4 (Rec)	R-SU4 (F1)	Readability	Recall	Precision	Repetition
BJUTNLPGroup	0.0325	0.0555	0.0223	0.0389	3.07	2.37	3.32	4.53
AUEB-System1	0.0551	0.0331	0.0590	0.0338	0.75	0.98	0.76	0.82
AUEB-System2	0.0491	0.0289	0.0550	0.0309	0.72	0.99	0.75	0.84
AUEB-System3	0.0551	0.0331	0.0590	0.0338	0.75	0.98	0.76	0.82
AUEB-System4	0.2125	0.1151	0.2113	0.1128	0.86	1.22	0.92	0.84
AUEB-System5	0.2125	0.1151	0.2113	0.1128	0.86	1.22	0.92	0.84
auth-qa-1	-	-	-	-	-	-	-	-
bio-answerfinder	0.4150	0.2997	0.4231	0.2981	3.88	4.20	3.94	4.45
UoT_baseline	-	-	-	-	-	-	-	-
Best yesno	-	-	-	-	-	-	-	-
UoT_multitask_learn	-	-	-	-	-	-	-	-
UoT_allquestions	-	-	-	-	-	-	-	-
MQ-1	0.5205	0.3040	0.5243	0.2939	3.76	4.42	3.67	3.76
Best factoid	-	-	-	-	-	-	-	-
Umass_czi_2	-	-	-	-	-	-	-	-
Umass_czi_1	-	-	-	-	-	-	-	-
NCU-IISR_1	0.1560	0.1841	0.1547	0.1783	3.93	3.55	4.01	4.76
MQ-2	0.5244	0.3254	0.5339	0.3206	3.71	4.49	3.78	3.92
MQ-3	0.5232	0.3206	0.5314	0.3153	3.77	4.51	3.84	3.92
MQ-4	0.4782	0.3012	0.4885	0.2975	3.73	4.40	3.75	3.90
simple truncation	0.5201	0.3011	0.5228	0.2906	3.73	4.50	3.67	3.74
MQ-5	0.3794	0.2683	0.3885	0.2651	3.88	4.31	3.84	4.15
Multitask SBERT Cls	0.4701	0.2992	0.4813	0.2947	3.72	4.56	3.80	3.98
Multitask SBERT reg	0.4649	0.2938	0.4747	0.2898	3.77	4.50	3.80	4.01
sbert cls	0.4806	0.2993	0.4915	0.2954	3.72	4.52	3.80	3.95
sbert reg	0.4593	0.2904	0.4784	0.2918	3.75	4.39	3.78	4.00
pa-base	0.0592	0.0653	0.0590	0.0642	1.08	0.98	1.03	1.19
FudanLabZhu1	-	-	-	-	-	-	-	-
FudanLabZhu3	-	-	-	-	-	-	-	-
kmeans	0.5138	0.2891	0.5281	0.2845	3.69	4.41	3.63	3.63
FudanLabZhu4	-	-	-	-	-	-	-	-
KoreaUniv-DMIS-1	0.2387	0.2287	0.2486	0.2311	4.50	3.81	4.06	4.71
KoreaUniv-DMIS-2	0.2546	0.2442	0.2567	0.2413	4.51	4.11	4.27	4.77
KoreaUniv-DMIS-5	0.2402	0.2318	0.2486	0.2335	4.52	3.78	4.03	4.71
KoreaUniv-DMIS-3	0.2662	0.2553	0.2687	0.2527	4.53	4.16	4.27	4.76
KoreaUniv-DMIS-4	0.2363	0.2272	0.2494	0.2331	4.53	3.83	4.02	4.76
pa	0.0592	0.0653	0.0590	0.0642	1.08	0.98	1.03	1.19
BioASQ_Baseline	-	-	-	-	-	-	-	-

Test batch 3

Exact Answers

	Yes/No				Factoid			List
System	Accuracy	F1 Yes	F1 No	Macro F1	Strict Acc.	Lenient Acc.	MRR	Mean Prec.	Recall	F-Measure
bio-answerfinder	0.8710	0.8947	0.8333	0.8640	0.3214	0.4286	0.3494	0.3884	0.4972	0.3983
auth-qa-1	0.7742	0.8205	0.6957	0.7581	0.2143	0.2857	0.2411	0.2500	0.3917	0.2834
auth-qa-2	0.7742	0.8205	0.6957	0.7581	0.2143	0.2857	0.2440	0.1667	0.4722	0.2337
auth-qa-3	0.7742	0.8205	0.6957	0.7581	0.2143	0.2857	0.2440	0.2500	0.3917	0.2834
auth-qa-4	0.7742	0.8205	0.6957	0.7581	0.2143	0.2857	0.2411	0.1667	0.4722	0.2337
MQ-1	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
MQ-2	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
MQ-3	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
MQ-4	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
MQ-5	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
Umass_czi_1	0.8065	0.8235	0.7857	0.8046	0.2500	0.3571	0.2869	0.6806	0.4111	0.4474
Umass_czi_2	0.8387	0.8649	0.8000	0.8324	0.2500	0.3571	0.2869	0.6806	0.4111	0.4474
Umass_czi_4	0.9032	0.9143	0.8889	0.9016	0.3214	0.4643	0.3810	0.6111	0.4028	0.4314
Umass_czi_5	0.9032	0.9189	0.8800	0.8995	0.2500	0.4286	0.3030	0.7361	0.4500	0.5020
UoT_baseline	0.5806	0.7347	-	0.3673	0.3214	0.3929	0.3512	0.4861	0.3833	0.4024
UoT_allquestions	0.5806	0.7347	-	0.3673	0.3214	0.3929	0.3423	0.5972	0.3889	0.4151
UoT_multitask_learn	0.5161	0.6809	-	0.3404	0.3214	0.4286	0.3643	0.5139	0.3333	0.3530
Best factoid	0.5806	0.7111	0.2353	0.4732	0.2857	0.3929	0.3333	0.5208	0.3833	0.3917
Best yesno	0.5161	0.6809	-	0.3404	0.3214	0.4286	0.3643	0.5139	0.3333	0.3530
BJUTNLPGroup	0.5806	0.7347	-	0.3673	0.2500	0.3571	0.3036	0.1583	0.4222	0.2170
Multitask SBERT Cls	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
Multitask SBERT reg	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
sbert cls	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
sbert 1 epoch cls	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
GNN	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
factoid qa model	0.4194	-	0.5909	0.2955	0.3214	0.4643	0.3750	-	-	-
simple truncation	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
kmeans	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
similarity measures	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
abstractive	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
extractive	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
pa-base	0.9032	0.9189	0.8800	0.8995	0.2500	0.4643	0.3137	0.5278	0.4444	0.4377
pa	0.9032	0.9189	0.8800	0.8995	0.2500	0.4643	0.3137	0.5278	0.4444	0.4377
KoreaUniv-DMIS-1	0.9032	0.9091	0.8966	0.9028	0.3214	0.4286	0.3601	0.6583	0.4111	0.4312
KoreaUniv-DMIS-4	0.8387	0.8571	0.8148	0.8360	0.2857	0.4286	0.3357	0.6167	0.4111	0.4282
KoreaUniv-DMIS-2	0.8710	0.8824	0.8571	0.8697	0.3214	0.4286	0.3446	0.6028	0.4111	0.4259
KoreaUniv-DMIS-3	0.8387	0.8571	0.8148	0.8360	0.2500	0.4643	0.3357	0.6111	0.4111	0.4222
KoreaUniv-DMIS-5	0.9032	0.9091	0.8966	0.9028	0.3214	0.4643	0.3565	0.6167	0.4111	0.4282
sbert reg	0.5806	0.7347	-	0.3673	-	-	-	-	-	-
FudanLabZhu1	0.7419	0.8182	0.5556	0.6869	0.2500	0.3929	0.2976	0.4819	0.2806	0.3112
FudanLabZhu2	0.7419	0.8182	0.5556	0.6869	0.3214	0.5357	0.3970	0.5694	0.3361	0.3849
FudanLabZhu3	0.7419	0.8182	0.5556	0.6869	0.3214	0.4643	0.3655	0.5583	0.3361	0.3708
FudanLabZhu4	0.7419	0.8182	0.5556	0.6869	0.2857	0.5714	0.3821	0.5583	0.3361	0.3708
FudanLabZhu5	0.7419	0.8182	0.5556	0.6869	0.3214	0.4286	0.3690	0.5583	0.3361	0.3708
BioASQ_Baseline	0.5161	0.4444	0.5714	0.5079	0.0714	0.2143	0.1220	0.2052	0.4611	0.2456

Ideal Answers

	Automatic scores (Rouge - R)				Manual scores
System	R-2 (Rec)	R-2 (F1)	R-SU4 (Rec)	R-SU4 (F1)	Readability	Recall	Precision	Repetition
bio-answerfinder	0.4557	0.3471	0.4642	0.3450	4.16	4.25	3.93	4.53
auth-qa-1	-	-	-	-	-	-	-	-
auth-qa-2	-	-	-	-	-	-	-	-
auth-qa-3	-	-	-	-	-	-	-	-
auth-qa-4	-	-	-	-	-	-	-	-
MQ-1	0.5222	0.3632	0.5336	0.3597	4.03	4.48	3.86	4.13
MQ-2	0.5481	0.3719	0.5580	0.3673	4.04	4.53	3.87	4.14
MQ-3	0.5394	0.3673	0.5491	0.3633	4.06	4.54	3.89	4.17
MQ-4	0.5202	0.3597	0.5336	0.3574	4.06	4.52	3.86	4.11
MQ-5	0.3997	0.3055	0.4112	0.3060	4.07	4.25	3.91	4.32
Umass_czi_1	-	-	-	-	-	-	-	-
Umass_czi_2	-	-	-	-	-	-	-	-
Umass_czi_4	-	-	-	-	-	-	-	-
Umass_czi_5	-	-	-	-	-	-	-	-
UoT_baseline	-	-	-	-	-	-	-	-
UoT_allquestions	-	-	-	-	-	-	-	-
UoT_multitask_learn	-	-	-	-	-	-	-	-
Best factoid	-	-	-	-	-	-	-	-
Best yesno	-	-	-	-	-	-	-	-
BJUTNLPGroup	0.0293	0.0501	0.0196	0.0337	2.99	2.39	3.20	4.35
Multitask SBERT Cls	0.4812	0.3292	0.5007	0.3305	3.91	4.24	3.73	3.98
Multitask SBERT reg	0.4669	0.3166	0.4834	0.3178	3.85	4.10	3.69	4.05
sbert cls	0.4769	0.3177	0.4940	0.3189	3.87	4.17	3.70	4.07
sbert 1 epoch cls	0.4820	0.3225	0.4977	0.3232	3.84	4.11	3.69	4.06
GNN	0.1538	0.1453	0.1600	0.1439	3.31	2.70	2.98	4.20
factoid qa model	-	-	-	-	-	-	-	-
simple truncation	0.4154	0.3229	0.4256	0.3221	4.10	4.41	3.94	4.42
kmeans	0.4154	0.3229	0.4256	0.3221	4.10	4.41	3.94	4.42
similarity measures	0.3961	0.2941	0.4093	0.2959	3.98	4.09	3.65	4.31
abstractive	0.1959	0.2186	0.1943	0.2169	3.54	3.33	3.75	4.66
extractive	0.4519	0.3197	0.4629	0.3155	3.90	4.43	3.84	4.18
pa-base	0.3202	0.2896	0.3261	0.2921	4.12	4.15	3.99	4.58
pa	0.5088	0.3229	0.5179	0.3182	4.00	4.42	3.96	4.26
KoreaUniv-DMIS-1	0.3213	0.2832	0.3193	0.2787	4.55	3.95	3.99	4.70
KoreaUniv-DMIS-4	0.2704	0.2539	0.2701	0.2521	4.56	3.88	4.04	4.80
KoreaUniv-DMIS-2	0.2992	0.2809	0.2983	0.2795	4.52	4.11	4.10	4.76
KoreaUniv-DMIS-3	0.2854	0.2660	0.2852	0.2634	4.52	3.97	4.09	4.70
KoreaUniv-DMIS-5	0.2997	0.2899	0.3043	0.2909	4.60	4.01	4.17	4.79
sbert reg	0.4508	0.3110	0.4647	0.3121	3.94	4.09	3.72	4.08
FudanLabZhu1	-	-	-	-	-	-	-	-
FudanLabZhu2	-	-	-	-	-	-	-	-
FudanLabZhu3	-	-	-	-	-	-	-	-
FudanLabZhu4	-	-	-	-	-	-	-	-
FudanLabZhu5	-	-	-	-	-	-	-	-
BioASQ_Baseline	-	-	-	-	-	-	-	-

Test batch 4

Exact Answers

	Yes/No				Factoid			List
System	Accuracy	F1 Yes	F1 No	Macro F1	Strict Acc.	Lenient Acc.	MRR	Mean Prec.	Recall	F-Measure
MQ-2	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
MQ-3	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
MQ-4	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
bio-answerfinder	0.6538	0.7568	0.4000	0.5784	0.4706	0.5882	0.5245	0.2791	0.3636	0.2646
auth-qa-1	0.6154	0.7059	0.4444	0.5752	0.2941	0.5294	0.3794	0.3059	0.4229	0.3406
auth-qa-2	0.6154	0.7059	0.4444	0.5752	0.2941	0.5000	0.3647	0.1882	0.4871	0.2561
auth-qa-3	0.6154	0.7059	0.4444	0.5752	0.2941	0.5000	0.3647	0.3137	0.4283	0.3459
auth-qa-4	0.6154	0.7059	0.4444	0.5752	0.2941	0.5294	0.3794	0.1882	0.4871	0.2561
auth-qa-5	0.6154	0.6667	0.5455	0.6061	0.2941	0.5294	0.3794	0.1882	0.4871	0.2561
MQ-1	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
MQ-5	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
BJUTNLPGroup	0.5385	0.7000	-	0.3500	0.3529	0.5000	0.4167	0.1824	0.5597	0.2620
UoT_baseline	0.5000	0.6667	-	0.3333	0.4118	0.7059	0.5270	0.3296	0.3810	0.3161
UoT_allquestions	0.5000	0.6667	-	0.3333	0.4412	0.7059	0.5564	0.4045	0.4623	0.3886
Best factoid	0.5000	0.6667	-	0.3333	0.4706	0.7059	0.5564	0.4582	0.4153	0.4005
UoT_multitask_learn	0.4615	0.6316	-	0.3158	0.4706	0.6765	0.5637	0.3843	0.3226	0.2991
Best yesno	0.5000	0.6667	-	0.3333	0.4412	0.7059	0.5564	0.4045	0.4623	0.3886
GNN	0.5385	0.7000	-	0.3500	0.0294	0.2353	0.1039	-	-	-
Umass_czi_1	0.8077	0.8387	0.7619	0.8003	0.3529	0.5294	0.4186	0.5164	0.3888	0.3774
Umass_czi_2	0.6923	0.7333	0.6364	0.6848	0.3235	0.5000	0.3946	0.5164	0.3888	0.3774
Umass_czi_3	0.7692	0.8125	0.7000	0.7563	0.3235	0.5000	0.3931	0.5753	0.4182	0.4146
Umass_czi_4	0.6538	0.7097	0.5714	0.6406	0.2941	0.5588	0.3946	0.5753	0.4182	0.4146
Umass_czi_5	0.6538	0.7097	0.5714	0.6406	0.5000	0.7059	0.5637	0.5753	0.4182	0.4146
factoid qa model	0.7308	0.7879	0.6316	0.7097	0.4412	0.6471	0.5206	0.4039	0.1696	0.2117
Parameters retrained	0.7308	0.7879	0.6316	0.7097	0.4412	0.6765	0.5216	0.4679	0.3443	0.3341
Features Fusion	0.7308	0.7879	0.6316	0.7097	0.5000	0.6765	0.5745	0.5428	0.3541	0.3625
Multitask SBERT Cls	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
Multitask SBERT reg	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
sbert cls	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
sbert reg	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
sbert 1 epoch cls	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
NCU-IISR_1	0.7308	0.7742	0.6667	0.7204	0.5000	0.6765	0.5735	0.5539	0.3786	0.3905
dice-a-1.0	0.7308	0.7879	0.6316	0.7097	0.3824	0.6471	0.4926	0.3627	0.1965	0.2188
FudanLabZhu1	0.5769	0.7179	0.1538	0.4359	0.4118	0.5588	0.4804	0.4055	0.2970	0.3004
FudanLabZhu2	0.5769	0.7027	0.2667	0.4847	0.5294	0.6765	0.5980	0.5784	0.3541	0.3902
FudanLabZhu4	0.5769	0.7027	0.2667	0.4847	0.5000	0.6765	0.5686	0.5375	0.5089	0.4571
FudanLabZhu3	0.5769	0.7179	0.1538	0.4359	0.4118	0.5882	0.4755	0.5375	0.5089	0.4571
GIAO	0.6538	0.7273	0.5263	0.6268	0.5000	0.6765	0.5784	0.6520	0.3585	0.4101
KoreaUniv-DMIS-1	0.7692	0.8000	0.7273	0.7636	0.5294	0.7059	0.6078	0.3577	0.5539	0.4037
KoreaUniv-DMIS-2	0.7692	0.8000	0.7273	0.7636	0.5294	0.6765	0.5882	0.2760	0.4926	0.3122
dice-b-1.0	0.7308	0.7879	0.6316	0.7097	0.3824	0.6471	0.4926	0.3775	0.2259	0.2384
simple truncation	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
kmeans	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
similarity measures	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
KoreaUniv-DMIS-3	0.7692	0.7857	0.7500	0.7679	0.5000	0.6765	0.5706	0.3049	0.4461	0.3346
KoreaUniv-DMIS-4	0.8077	0.8276	0.7826	0.8051	0.5000	0.6471	0.5613	0.3002	0.4926	0.3318
extractive	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
abstractive	0.5385	0.7000	-	0.3500	-	-	-	-	-	-
FudanLabZhu5	0.5769	0.7179	0.1538	0.4359	0.5588	0.7353	0.6284	0.5375	0.5089	0.4571
KoreaUniv-DMIS-5	0.8462	0.8571	0.8333	0.8452	0.4706	0.7059	0.5686	0.3630	0.4329	0.3355
pa	0.7308	0.7879	0.6316	0.7097	0.4706	0.5588	0.5098	0.3571	0.3661	0.3030
pa-base	0.7308	0.7879	0.6316	0.7097	0.4706	0.5588	0.5098	0.3571	0.3661	0.3030
BioASQ_Baseline	0.5385	0.4000	0.6250	0.5125	0.0588	0.2059	0.1078	0.1554	0.4519	0.2122

Ideal Answers

	Automatic scores (Rouge - R)				Manual scores
System	R-2 (Rec)	R-2 (F1)	R-SU4 (Rec)	R-SU4 (F1)	Readability	Recall	Precision	Repetition
MQ-2	0.5054	0.2949	0.5122	0.2878	3.96	4.53	3.69	4.09
MQ-3	0.5162	0.2964	0.5220	0.2891	3.96	4.47	3.71	4.11
MQ-4	0.4915	0.2886	0.5015	0.2832	4.00	4.42	3.69	4.11
bio-answerfinder	0.4025	0.2993	0.4001	0.2938	4.19	4.18	3.97	4.71
auth-qa-1	-	-	-	-	-	-	-	-
auth-qa-2	-	-	-	-	-	-	-	-
auth-qa-3	-	-	-	-	-	-	-	-
auth-qa-4	-	-	-	-	-	-	-	-
auth-qa-5	-	-	-	-	-	-	-	-
MQ-1	0.4971	0.3088	0.5074	0.3017	3.82	4.54	3.81	4.19
MQ-5	0.3896	0.2674	0.4005	0.2638	4.02	4.15	3.86	4.36
BJUTNLPGroup	0.0288	0.0488	0.0184	0.0316	3.00	2.69	3.37	4.58
UoT_baseline	-	-	-	-	-	-	-	-
UoT_allquestions	-	-	-	-	-	-	-	-
Best factoid	-	-	-	-	-	-	-	-
UoT_multitask_learn	-	-	-	-	-	-	-	-
Best yesno	-	-	-	-	-	-	-	-
GNN	0.1543	0.1385	0.1538	0.1330	3.33	2.86	3.28	4.41
Umass_czi_1	-	-	-	-	-	-	-	-
Umass_czi_2	-	-	-	-	-	-	-	-
Umass_czi_3	-	-	-	-	-	-	-	-
Umass_czi_4	-	-	-	-	-	-	-	-
Umass_czi_5	-	-	-	-	-	-	-	-
factoid qa model	-	-	-	-	-	-	-	-
Parameters retrained	-	-	-	-	-	-	-	-
Features Fusion	-	-	-	-	-	-	-	-
Multitask SBERT Cls	0.4195	0.2492	0.4282	0.2453	3.92	4.46	3.78	4.14
Multitask SBERT reg	0.4301	0.2582	0.4414	0.2538	3.89	4.32	3.68	4.10
sbert cls	0.4294	0.2575	0.4382	0.2534	3.91	4.44	3.77	4.13
sbert reg	0.4294	0.2575	0.4382	0.2534	3.91	4.44	3.77	4.13
sbert 1 epoch cls	0.3996	0.2502	0.4147	0.2482	3.91	4.37	3.74	4.11
NCU-IISR_1	0.1616	0.1845	0.1587	0.1796	3.92	3.33	3.79	4.70
dice-a-1.0	-	-	-	-	-	-	-	-
FudanLabZhu1	-	-	-	-	-	-	-	-
FudanLabZhu2	-	-	-	-	-	-	-	-
FudanLabZhu4	-	-	-	-	-	-	-	-
FudanLabZhu3	-	-	-	-	-	-	-	-
GIAO	-	-	-	-	-	-	-	-
KoreaUniv-DMIS-1	0.2390	0.2136	0.2436	0.2141	4.50	3.67	3.86	4.76
KoreaUniv-DMIS-2	0.2423	0.2274	0.2456	0.2287	4.55	3.86	4.05	4.79
dice-b-1.0	-	-	-	-	-	-	-	-
simple truncation	0.4793	0.2828	0.4929	0.2782	3.99	4.50	3.78	4.03
kmeans	0.4793	0.2828	0.4929	0.2782	3.99	4.50	3.78	4.03
similarity measures	0.3862	0.2446	0.3971	0.2394	3.97	4.19	3.82	4.27
KoreaUniv-DMIS-3	0.2407	0.2246	0.2424	0.2251	4.66	3.51	3.90	4.86
KoreaUniv-DMIS-4	0.2268	0.2061	0.2291	0.2066	4.56	3.84	3.84	4.75
extractive	0.4668	0.2870	0.4729	0.2796	3.91	4.46	3.72	4.15
abstractive	0.1938	0.2080	0.1948	0.2050	3.46	3.09	3.62	4.51
FudanLabZhu5	-	-	-	-	-	-	-	-
KoreaUniv-DMIS-5	0.2302	0.2126	0.2384	0.2181	4.54	3.87	3.98	4.81
pa	0.3135	0.2904	0.3138	0.2874	3.79	3.70	3.86	4.69
pa-base	0.5291	0.2923	0.5321	0.2856	3.91	4.40	3.75	4.02
BioASQ_Baseline	-	-	-	-	-	-	-	-

Test batch 5

Exact Answers

	Yes/No				Factoid			List
System	Accuracy	F1 Yes	F1 No	Macro F1	Strict Acc.	Lenient Acc.	MRR	Mean Prec.	Recall	F-Measure
MQ-2	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
MQ-3	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
MQ-4	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
GNN	0.5588	0.7170	-	0.3585	0.0000	0.2813	0.0677	-	-	-
zmodel2	0.5588	0.7170	-	0.3585	0.0000	0.3125	0.0995	-	-	-
NCU-IISR_1	0.7353	0.7429	0.7273	0.7351	0.4688	0.7188	0.5859	0.4514	0.2659	0.3140
NCU-IISR_2	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
auth-qa-1	0.6765	0.6857	0.6667	0.6762	0.2500	0.3750	0.2995	0.1750	0.4821	0.2386
auth-qa-5	0.6471	0.7143	0.5385	0.6264	0.2500	0.3750	0.2995	0.1750	0.4821	0.2386
UoT_baseline	0.6176	0.5185	0.6829	0.6007	0.5000	0.6875	0.5844	0.2242	0.1577	0.1732
UoT_multitask_learn	0.5000	0.6667	-	0.3333	0.4063	0.7188	0.5365	0.5938	0.3700	0.4296
UoT_allquestions	0.5588	0.7170	-	0.3585	0.4063	0.6875	0.5063	0.3854	0.2798	0.3082
Best factoid	0.5588	0.7170	-	0.3585	0.4063	0.6563	0.5026	0.5174	0.3631	0.4002
Best yesno	0.5588	0.7170	-	0.3585	0.4063	0.6875	0.5063	0.3854	0.2798	0.3082
bio-answerfinder	0.7353	0.7568	0.7097	0.7332	0.5000	0.5313	0.5156	0.4745	0.4325	0.4163
MQ-1	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
MQ-5	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
BJUTNLP2	0.5588	0.7170	-	0.3585	0.4688	0.5625	0.5026	0.1250	0.3790	0.1731
Umass_czi_1	0.6471	0.6471	0.6471	0.6471	0.4688	0.7188	0.5677	0.5139	0.2808	0.3353
Umass_czi_2	0.6176	0.6286	0.6061	0.6173	0.5000	0.6250	0.5417	0.5139	0.2808	0.3353
Umass_czi_3	0.7941	0.8205	0.7586	0.7896	0.5625	0.7188	0.6354	0.1528	0.1230	0.1310
Umass_czi_4	0.7353	0.7692	0.6897	0.7294	0.5313	0.6563	0.5833	0.3750	0.1756	0.2166
Umass_czi_5	0.5882	0.6818	0.4167	0.5492	0.4688	0.7188	0.5604	0.5972	0.3224	0.3909
factoid qa model	0.7647	0.8095	0.6923	0.7509	0.4688	0.6563	0.5401	0.3333	0.0923	0.1387
Parameters retrained	0.7647	0.8095	0.6923	0.7509	0.4688	0.7813	0.5938	0.5139	0.2946	0.3492
Features Fusion	0.7647	0.8095	0.6923	0.7509	0.5313	0.7500	0.6115	0.5035	0.2808	0.3298
BioFusion	0.7647	0.8095	0.6923	0.7509	0.5000	0.7188	0.5818	0.3854	0.2589	0.2907
BioLabel	0.7647	0.8095	0.6923	0.7509	0.4688	0.7188	0.5573	0.4271	0.2798	0.3185
dice-a-1.0	0.6765	0.7179	0.6207	0.6693	0.4375	0.6250	0.5156	0.3750	0.1696	0.2159
dice-b-1.0	0.7941	0.8108	0.7742	0.7925	0.5313	0.6875	0.5885	0.4028	0.1845	0.2313
DAIICT_lex_UMLSgraph	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
DAIICT_QSM_UMLSgraph	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
DAIICT_QSM	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
DAIICT_lex	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
system of teamdaiict	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
FudanLabZhu1	0.5000	0.5405	0.4516	0.4961	0.4375	0.6250	0.5036	0.4694	0.3304	0.3641
FudanLabZhu2	0.6176	0.6977	0.4800	0.5888	0.5000	0.7188	0.5818	0.6458	0.4028	0.4703
FudanLabZhu4	0.6176	0.6977	0.4800	0.5888	0.1250	0.2813	0.1901	0.6458	0.4028	0.4703
FudanLabZhu3	0.6176	0.6977	0.4800	0.5888	0.4688	0.6250	0.5313	0.5125	0.3869	0.4092
KoreaUniv-DMIS-1	0.8235	0.8333	0.8125	0.8229	0.4688	0.6250	0.5208	0.5799	0.4812	0.5050
Multitask SBERT Cls	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
KoreaUniv-DMIS-2	0.8235	0.8333	0.8125	0.8229	0.5000	0.7188	0.5833	0.5799	0.4812	0.5050
Multitask SBERT reg	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
KoreaUniv-DMIS-3	0.8235	0.8333	0.8125	0.8229	0.4688	0.7188	0.5661	0.5694	0.5437	0.5222
KoreaUniv-DMIS-4	0.7941	0.8000	0.7879	0.7939	0.5313	0.7188	0.6120	0.5724	0.5437	0.5247
KoreaUniv-DMIS-5	0.8529	0.8649	0.8387	0.8518	0.5000	0.6875	0.5677	0.5465	0.5645	0.5243
sbert cls	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
sbert 1 epoch cls	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
sbert reg	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
FudanLabZhu5	0.6176	0.6977	0.4800	0.5888	0.5000	0.6563	0.5677	0.5317	0.3879	0.4239
dice-c-1.0	0.8529	0.8571	0.8485	0.8528	0.3125	0.5625	0.4151	0.1250	0.0536	0.0741
dice-d-1.0	0.8529	0.8571	0.8485	0.8528	0.3125	0.5625	0.4151	0.1250	0.0536	0.0741
NCU-IISR_3	0.5588	0.7170	-	0.3585	-	-	-	-	-	-
dice-e-1.0	0.8529	0.8571	0.8485	0.8528	0.3125	0.5625	0.4151	0.1250	0.0536	0.0741
pa	0.8235	0.8333	0.8125	0.8229	0.4375	0.6250	0.5260	0.3284	0.2679	0.2761
GIAO	0.5588	0.7170	-	0.3585	0.5000	0.6563	0.5677	-	-	-
BioASQ_Baseline	0.6176	0.5185	0.6829	0.6007	0.1563	0.3438	0.2266	0.2573	0.3641	0.2581

Ideal Answers

	Automatic scores (Rouge - R)				Manual scores
System	R-2 (Rec)	R-2 (F1)	R-SU4 (Rec)	R-SU4 (F1)	Readability	Recall	Precision	Repetition
MQ-2	0.5105	0.3246	0.5161	0.3171	3.88	4.47	3.69	4.01
MQ-3	0.5188	0.3328	0.5214	0.3241	3.92	4.42	3.71	4.02
MQ-4	0.5155	0.3311	0.5188	0.3233	3.91	4.43	3.65	4.02
GNN	0.2192	0.1987	0.2151	0.1889	3.33	3.12	3.42	4.57
zmodel2	0.1882	0.1675	0.1855	0.1573	3.25	3.07	3.32	4.54
NCU-IISR_1	0.1634	0.1793	0.1552	0.1692	3.64	3.14	3.55	4.71
NCU-IISR_2	0.3027	0.2842	0.3019	0.2760	4.22	4.12	4.27	4.93
auth-qa-1	-	-	-	-	-	-	-	-
auth-qa-5	-	-	-	-	-	-	-	-
UoT_baseline	-	-	-	-	-	-	-	-
UoT_multitask_learn	-	-	-	-	-	-	-	-
UoT_allquestions	-	-	-	-	-	-	-	-
Best factoid	-	-	-	-	-	-	-	-
Best yesno	-	-	-	-	-	-	-	-
bio-answerfinder	0.4057	0.2971	0.4021	0.2892	3.99	4.10	3.82	4.59
MQ-1	0.5050	0.3154	0.5129	0.3074	3.92	4.48	3.71	4.01
MQ-5	0.4069	0.3094	0.4151	0.3051	3.93	4.26	3.80	4.37
BJUTNLP2	0.0373	0.0608	0.0244	0.0413	3.22	2.47	3.21	4.78
Umass_czi_1	-	-	-	-	-	-	-	-
Umass_czi_2	-	-	-	-	-	-	-	-
Umass_czi_3	-	-	-	-	-	-	-	-
Umass_czi_4	-	-	-	-	-	-	-	-
Umass_czi_5	-	-	-	-	-	-	-	-
factoid qa model	-	-	-	-	-	-	-	-
Parameters retrained	-	-	-	-	-	-	-	-
Features Fusion	-	-	-	-	-	-	-	-
BioFusion	-	-	-	-	-	-	-	-
BioLabel	-	-	-	-	-	-	-	-
dice-a-1.0	-	-	-	-	-	-	-	-
dice-b-1.0	-	-	-	-	-	-	-	-
DAIICT_lex_UMLSgraph	0.6250	0.3189	0.6234	0.3059	3.75	4.76	3.57	3.73
DAIICT_QSM_UMLSgraph	0.6250	0.3189	0.6234	0.3059	3.75	4.76	3.57	3.73
DAIICT_QSM	0.6428	0.3284	0.6392	0.3138	3.70	4.83	3.57	3.68
DAIICT_lex	0.6257	0.3205	0.6239	0.3073	3.75	4.74	3.57	3.72
system of teamdaiict	0.6473	0.3245	0.6445	0.3100	3.67	4.81	3.59	3.77
FudanLabZhu1	-	-	-	-	-	-	-	-
FudanLabZhu2	-	-	-	-	-	-	-	-
FudanLabZhu4	-	-	-	-	-	-	-	-
FudanLabZhu3	-	-	-	-	-	-	-	-
KoreaUniv-DMIS-1	0.2374	0.2136	0.2446	0.2158	4.24	3.43	3.71	4.65
Multitask SBERT Cls	0.4946	0.3181	0.4937	0.3085	4.01	4.41	3.84	4.09
KoreaUniv-DMIS-2	0.2637	0.2608	0.2630	0.2565	4.45	4.11	4.14	4.81
Multitask SBERT reg	0.4860	0.3083	0.4854	0.2992	3.99	4.42	3.82	4.09
KoreaUniv-DMIS-3	0.2244	0.2123	0.2282	0.2115	4.28	3.56	3.65	4.67
KoreaUniv-DMIS-4	0.2341	0.2230	0.2396	0.2260	4.43	4.01	3.94	4.74
KoreaUniv-DMIS-5	0.2369	0.2416	0.2350	0.2378	4.41	4.14	4.05	4.74
sbert cls	0.4948	0.3172	0.4926	0.3070	4.01	4.43	3.84	4.06
sbert 1 epoch cls	0.4967	0.3195	0.4962	0.3098	4.01	4.33	3.78	4.11
sbert reg	0.4896	0.3136	0.4886	0.3041	4.01	4.42	3.83	4.09
FudanLabZhu5	-	-	-	-	-	-	-	-
dice-c-1.0	-	-	-	-	-	-	-	-
dice-d-1.0	-	-	-	-	-	-	-	-
NCU-IISR_3	0.3698	0.3538	0.3603	0.3396	4.33	4.12	4.21	4.95
dice-e-1.0	-	-	-	-	-	-	-	-
pa	0.3673	0.2963	0.3634	0.2860	3.97	3.75	3.87	4.52
GIAO	-	-	-	-	-	-	-	-
BioASQ_Baseline	-	-	-	-	-	-	-	-