Cross-domain Semantic Parsing via Paraphrasing
Table 3: Main experiment results. We combine the proposed paraphrase model with different word embedding initializations. I: in-domain, X: cross-domain, EN: per-example normalization, FS: per-feature standardization, ES: per-example standardization.
['Method', 'Calendar', 'Blocks', 'Housing', 'Restaurants', 'Publications', 'Recipes', 'Social', 'Basketball', 'Avg.']
5.3.1 Comparison with Previous Methods With our main novelties, cross-domain training and word embedding standardization, our full model is able to outperform the previous best model, and achieve the best accuracy on 6 out of the 8 domains. Next we examine the novelties separately.