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Table 6: Semantic parser accuracy on MPII-MD. Discussion in Section 5.2.
['Corpus', 'Clause', 'NLP', 'Roles', 'WSD']
The components are clause splitting (Clause), POS tagging and chunking (NLP), semantic role labeling (Roles) and word sense disambiguation (WSD). We manually evaluate the correctness on a randomly sampled set of sentences using human judges. It is evident that the poorest performing parts are the NLP and the WSD components. Some of the NLP mistakes arise due to incorrect POS tagging. WSD is considered a hard problem and when the dataset contains less frequent words, the performance is severely affected.