Sentiment Classification on Multi-Domain Sentiment Dataset 2008 (test) benchmark leaderboard · SOTA2 Research

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

0.838Accuracy (A->D)Oracle-Gen

Evaluation Results

Method	Links
Oracle-Gen2023.05		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
ReMask2023.05		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
PERL2023.05		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
DoCoGen2023.05		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-RR2023.05		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
NoDA2023.05		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
NoUnmask2023.05		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-ASM2023.05		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
3WO2023.05		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-Rob2023.05		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
NoInit2023.05		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
NOOTT2023.05		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