Table-to-Text: Describing Table Region with Natural Language
Table 2: BLEU-4 scores on WIKITABLETEXT.
['Setting', 'Dev', 'Test']
The experiment results indicate that our method outperforms the baselines by an order of magnitude. We remove each component of our model at a time, and show the influence of each part. We find that copying mechanism is the most effective factor. Removing the copying mechanism gets down the performance from 37.90 to 5.41. Randomly copying values also performs bad. It is reasonable because many words of the description come from table cells which are rare words and need to be copied.