Model	Experiment	BLEU ↑	METEOR ↑	TER ↓
SEEN	UNSEEN	ALL	SEEN	UNSEEN	ALL	SEEN	UNSEEN	ALL
Baseline Transformer	[1] webnlg	49.81	5.51	31.81	0.39	0.09	0.24	0.47	0.86	0.64
[2] webnlg+dart DECL_sents	52.31	8.96	39.98	0.40	0.07	0.25	0.45	0.79	0.60
[3] webnlg+dart_human_annnotated	53.68	7.02	36.36	0.40	0.09	0.26	0.43	0.79	0.59
[4] webnlg+dart_ontology	53.40	8.54	38.51	0.41	0.08	0.26	0.44	0.80	0.60
[5] webnlg+dart_e2e	51.76	5.92	32.36	0.40	0.09	0.25	0.45	0.86	0.63
[6] webnlg+dart_full	54.99	8.64	39.11	0.40	0.08	0.25	0.42	0.81	0.60
BART-base	[1] webnlg	63.02	41.74	53.36	0.45	0.35	0.40	0.33	0.52	0.42
[2] webnlg+dart DECL_sents	62.71	42.51	53.64	0.45	0.36	0.40	0.34	0.51	0.41
[3] webnlg+dart_human_annnotated	62.36	46.21	55.14	0.44	0.37	0.41	0.34	0.45	0.39
[4] webnlg+dart_ontology	62.62	46.74	55.54	0.44	0.38	0.41	0.34	0.45	0.39
[5] webnlg+dart_e2e	64.00	35.07	51.17	0.45	0.33	0.40	0.33	0.61	0.46
[6] webnlg+dart_full	63.66	45.48	55.52	0.45	0.37	0.41	0.33	0.47	0.40
BART-large	[1] webnlg	63.71	44.17	54.95	0.46	0.39	0.42	0.33	0.51	0.41
[2] webnlg+dart DECL_sents	65.18	46.79	56.79	0.46	0.39	0.42	0.32	0.48	0.40
[3] webnlg+dart_human_annnotated	64.51	50.20	58.06	0.46	0.40	0.43	0.32	0.44	0.38
[4] webnlg+dart_ontology	64.19	49.62	57.65	0.46	0.39	0.43	0.33	0.45	0.38
[5] webnlg+dart_e2e	65.06	30.17	48.24	0.46	0.33	0.40	0.32	0.69	0.49
[6] webnlg+dart_full	65.24	47.96	57.44	0.46	0.39	0.43	0.32	0.46	0.39
T5-small	[1] webnlg	65.30	45.58	56.57	0.46	0.39	0.43	0.32	0.49	0.40
[2] webnlg+dart DECL_sents	64.18	46.61	56.27	0.46	0.39	0.43	0.33	0.48	0.40
[3] webnlg+dart_human_annnotated	65.05	47.81	57.32	0.46	0.40	0.43	0.33	0.46	0.39
[4] webnlg+dart_ontology	65.17	47.49	57.24	0.46	0.39	0.43	0.32	0.47	0.39
[5] webnlg+dart_e2e	65.56	41.28	54.56	0.46	0.38	0.42	0.32	0.54	0.42
[6] webnlg+dart_full	64.70	47.56	57.01	0.46	0.39	0.43	0.33	0.47	0.39
T5-base	[1] webnlg	64.89	52.86	59.44	0.46	0.42	0.44	0.33	0.42	0.37
[2] webnlg+dart DECL_sents	65.44	50.80	58.81	0.46	0.41	0.44	0.32	0.43	0.37
[3] webnlg+dart_human_annnotated	65.42	50.71	58.80	0.46	0.41	0.44	0.32	0.43	0.37
[4] webnlg+dart_ontology	65.17	51.49	59.04	0.46	0.41	0.44	0.33	0.43	0.37
[5] webnlg+dart_e2e	65.11	49.64	58.19	0.46	0.41	0.44	0.33	0.46	0.39
[6] webnlg+dart_full	65.99	51.68	59.50	0.46	0.42	0.44	0.32	0.43	0.37
T5-large	[1] webnlg	64.89	54.01	59.95	0.46	0.43	0.44	0.34	0.41	0.37
[2] webnlg+dart DECL_sents	65.97	53.00	60.12	0.46	0.42	0.44	0.32	0.41	0.36
[3] webnlg+dart_human_annnotated	65.82	56.01	61.44	0.46	0.43	0.45	0.32	0.38	0.35
[4] webnlg+dart_ontology	65.53	55.20	60.90	0.46	0.42	0.44	0.32	0.38	0.35
[5] webnlg+dart_e2e	66.27	54.13	60.76	0.46	0.43	0.45	0.32	0.41	0.36
[6] webnlg+dart_full	65.78	54.35	60.64	0.46	0.42	0.44	0.32	0.39	0.35
Table 6: Results of ablation study on WebNLG 2017 testset. dart decl_sents refers to DART partition that contains auto-generated declarative sentences mentioned in Section 2.2, dart_human_annnotated refers to partition that contains human written sentences mentioned in Section 2.1, dart_ontology is the combination of dart decl_sents and dart_human_annnotated, and dart_e2e refers to DART partition containing instances extracted from E2E dataset, the process of which is mentioned in Section 2.3. Note that dart_full is the combination of dart_ontology and dart_e2e.