Recurrent Neural Network Encoder with Attention for Community Question Answering
Table 4: Compared with other systems (bold is best).
['[EMPTY]', 'Task A', 'Task B', 'Task C']
Since the two baseline models did not use any additional data, in this table our system was also restricted to the provided training data. For task A, we can see that if there is enough training data our single system already performs better than a very strong feature-rich based system. For task B, since only limited training data is given, both feature-rich based system and our system are worse than the IR system. For task C, our system also got comparable results with the feature-rich based system. This implies that our system is complimentary with the IR system.