Dependency-based Hybrid Trees for Semantic Parsing
Table 4: F1 scores of our model with different dependency features.
['[EMPTY]', 'en', 'th', 'de', 'el', 'zh', 'id', 'sv', 'fa']
Specifically, we investigate the performance of head word and modifier word features (hm) and also the bag-of-words features (bow) that can be extracted based on dependencies. It can be observed that dependency features associated with the words are crucial for all languages, especially the bow features.