Mapping Text to Knowledge Graph Entitiesusing Multi-Sense LSTMs
Table 2: Results for the reverse dictionary task, compared with the highest numbers reported by hill. TF vectors refers to textually enhanced vectors with λ=1. For the MS-LSTM, k is set to 3.
['[BOLD] Model', '[BOLD] Acc-10', '[BOLD] Acc-100']
Note that the MS-LSTM achieves 0.95-0.96 top-10 accuracy for the seen evaluation, significantly higher not only than the best model of \newcitehill, but also higher than OneLook, a commercial system with access to more than 1000 dictionaries. It also presents considerably higher performance in the unseen evaluation. We are not aware of any other models with higher performance on the specific task.