We then discuss specific choices of our featurization (Section 2.3) and the backbone grammar used for structured inference (Section 2.4).
table 1 shows that these features provide no benefit to the baseline model, which suggests either that it is difficult to learn reliable weights for these as sparse features or that different regularities are being captured by the word embeddings.