Robust Subgraph Generation Improves Abstract Meaning Representation Parsing
Table 1: Distribution of action types in the proxy section of the newswire section of the LDC2014T12 dataset, generated from automatically aligned data.
['[BOLD] Action', '[BOLD] # Tokens', '[BOLD] % Total']
The cumulative frequency of the non-DICT actions is striking: we can generate 74% of the tokens with high reliability (p≥0.9) actions. In this light, it is unsurprising that our results demonstrate a large gain in recall on the test set.