| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T74 |
0-132 |
Sentence |
denotes |
We chose to sample all variables uniformly, as we do not have any distribution knowledge of the real-world application of the model. |
| T75 |
133-289 |
Sentence |
denotes |
Furthermore, by sampling in such an unbiased fashion, we reduce the chances of the network overfitting based on some intrinsic property of our training set. |
| T76 |
290-382 |
Sentence |
denotes |
Some conditional restrictions are built regarding the binary variables, as noted in Table 1. |
| T77 |
383-489 |
Sentence |
denotes |
Altogether, we generated about 125 k simulation samples, providing us with a dense enough training domain. |
