Bad Form: Comparing Context-Based and Form-BasedFew-Shot Learning in Distributional Semantic Models
Table 2: Results on both CRW tasks. The best result per category in every column is marked in bold. The form-based and hybrid categories are shown together, as a hybrid model using 0 context sentences is effectively form-based. The stem-based model is not compatible with the filtered tasks.
['[EMPTY]', '[EMPTY]', '[BOLD] Contextual Rare Words Number of Context Sentences', '[BOLD] Contextual Rare Words Number of Context Sentences', '[BOLD] Contextual Rare Words Number of Context Sentences', '[BOLD] Contextual Rare Words Number of Context Sentences', '[BOLD] Contextual Rare Words Number of Context Sentences', '[BOLD] Contextual Rare Words Number of Context Sentences', '[BOLD] Contextual Rare Words Number of Context Sentences', '[BOLD] Contextual Rare Words Number of Context Sentences', '[BOLD] Filtered CRW Number of Context Sentences', '[BOLD] Filtered CRW Number of Context Sentences', '[BOLD] Filtered CRW Number of Context Sentences', '[BOLD] Filtered CRW Number of Context Sentences', '[BOLD] Filtered CRW Number of Context Sentences', '[BOLD] Filtered CRW Number of Context Sentences', '[BOLD] Filtered CRW Number of Context Sentences', '[BOLD] Filtered CRW Number of Context Sentences']
On the original CRW task, hybrid methods dominate, with the FCM outperforming all other results significantly even with no context sentences. This again shows how much lexical information is available.