Learning Distributed Representations of Texts and Entities from Knowledge Base
Table 3: Hyper-parameters used for EL and QA tasks. hidden units is the number of units in the hidden layers, and dropout is the dropout probability.
['Dataset', 'hidden units', 'dropout']
We tuned the following two hyper-parameters using the micro-accuracy on the development set of each dataset: the number of units in the hidden layer and the dropout probability. We tuned these parameters using the development set of each dataset.