Context-Aware Neural Machine Translation Learns Anaphora Resolution
Table 9: Performance of CoreNLP and our model’s attention mechanism compared to human assessment (%). Examples with ≥1 noun in context sentence.
['[EMPTY]', 'CoreNLP right', 'CoreNLP wrong']
The agreement between our model and the ground truth is 72%. Though 5% below the coreference system, this is a lot higher than the best heuristic (+18%). This confirms our conclusion that our model performs latent anaphora resolution. Nevertheless, there is room for improvement, and improving the attention component is likely to boost translation performance.