Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text
Table 1: Normalizing the Desire-expression helps the TE model.
['[BOLD] Data', '[BOLD] Normalized?', '[BOLD] P', '[BOLD] R', '[BOLD] F']
The desire was considered ‘fulfilled’ if the RTE model predicted entailment for at least one of the text-hypothesis pairs of the example. E.g., the model could infer that the normalized Desire-expression example mentioned above, would be entailed by the following Evidence fragment- “It took Jerry six days to paint his barn that way.” and hence it would conclude that the desire was fulfilled. (see Sec. Our results show that the RTE Model performs better with normalization. We use this model (with normalization) as a baseline in Sec.