SlowGuess/ACL_2020_OCR huggingface dataset:
Table 12: Overall W2V-L1 results compared with uHTM strategies.
Datasets	Level	CluNMF	SLDA	SNLDA	HSLDA
20News	1 Level	0.9863 ± 0.0000	0.2714 ± 0.1157	0.1829 ± 0.0000	0.6622 ± 0.0000
2 Level	0.9386 ± 0.0311	-	0.1753 ± 0.0644	0.5728 ± 0.0000
3 Level	0.9495 ± 0.0319	-	0.2368 ± 0.0732	0.4255 ± 0.2179
ACM	1 Level	0.9552 ± 0.0185	0.2071 ± 0.0579	0.1107 ± 0.0000	0.3060 ± 0.0000
2 Level	0.9552 ± 0.0185	-	0.1472 ± 0.0319	0.3909 ± 0.0000
3 Level	0.9682 ± 0.0071	-	0.2155 ± 0.0483	0.2709 ± 0.0986
Table 13: NPMI results by level of hierarchy compared with supervised HTM strategies.
Datasets	Level	CluNMF	SLDA	SNLDA	HSLDA
20News	1 Level	1.0232 ± 0.0000	0.3093 ± 0.2006	0.2961 ± 0.0000	***
2 Level	1.1925 ± 0.1096	-	0.2625 ± 0.1157	0.3296 ± 0.0000
3 Level	1.2060 ± 0.1183	-	0.3750 ± 0.2231	0.0902 ± 0.1025
ACM	1 Level	1.0955 ± 0.1047	0.6347 ± 0.2617	0.5365 ± 0.0000	0.1488 ± 0.0000
2 Level	1.0955 ± 0.1047	-	0.5060 ± 0.0302	0.0074 ± 0.0000
3 Level	1.0320 ± 0.0716	-	0.7025 ± 0.2296	0.2961 ± 0.1510
Table 15: Coherence results by level of hierarchy compared with uHTM strategies.
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Table 17: W2V-L1 results by level of hierarchy compared with uHTM strategies.