Machine Translation Evaluation Meets Community Question Answering
Table 3: Comparative results with the best SemEval-2016 Task 3, subtask A systems.
['[BOLD] System', '[BOLD] MAP', '[BOLD] AvgRec', '[BOLD] MRR']
We can see that our system MTE-CQA would rank first on MRR, second on MAP, and fourth on AvgRec in SemEval-2016 Task 3 competition. These results are also 5 and 16 points above the average and the worst systems, respectively.