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Sentiment Classification on Multi-Domain Sentiment Dataset 2008 (test)

0.838Accuracy (A->D)

Oracle-Gen

Updated 4d ago

Evaluation Results

Method	Links
Oracle-Gen 2023.05		0.838	0.884	0.889	0.836	0.893	0.9	0.849	0.846	0.907	0.841	0.822	0.89	0.866
ReMask 2023.05		0.744	0.853	0.785	0.782	0.885	0.889	0.81	0.829	0.897	0.815	0.834	0.897	0.835
PERL 2023.05		0.729	0.811	0.836	0.815	0.83	0.869	0.811	0.817	0.885	0.779	0.782	0.861	0.819
DoCoGen 2023.05		0.706	0.797	0.798	0.758	0.828	0.844	0.83	0.82	0.893	0.812	0.822	0.873	0.815
RM-RR 2023.05		0.695	0.801	0.8	0.723	0.81	0.838	0.796	0.795	0.884	0.706	0.791	0.845	0.79
NoDA 2023.05		0.694	0.786	0.782	0.723	0.802	0.824	0.81	0.798	0.876	0.725	0.786	0.854	0.788
NoUnmask 2023.05		0.691	0.772	0.711	0.785	0.796	0.789	0.764	0.8	0.834	0.664	0.741	0.82	0.764
2-ASM 2023.05		0.687	0.818	0.795	0.81	0.883	0.889	0.82	0.844	0.914	0.807	0.809	0.881	0.829
3WO 2023.05		0.654	0.784	0.815	0.803	0.81	0.8	0.854	0.756	0.852	0.842	0.8	0.821	0.799
DoCoGen-Rob 2023.05		0.627	0.739	0.749	0.769	0.857	0.877	0.827	0.821	0.903	0.819	0.83	0.889	0.809
NoInit 2023.05		0.627	0.739	0.749	0.769	0.857	0.877	0.827	0.821	0.903	0.819	0.8295	0.889	0.809
NOOTT 2023.05		0.627	0.739	0.749	0.769	0.857	0.827	0.821	0.903	0.819	0.83	0.889	0.809	0.808