Simple, Fast Semantic Parsing with a Tensor Kernel
Table 1: Results on the WebQuestions dataset, together with results reported in the literature.
['[EMPTY]', '[BOLD] Average F1 score']
Our system achieves an average F1 score of 40.1%, compared to ParaSempre’s 39.9%. Our system runs faster however, due to the simpler method of generating features. Evaluating using ParaSempre on the development set took 22h31m; using the tensor kernel took 14h44m on a comparable machine.