NE-Table: A Neural key-value table for Named Entities
Table 1: Results (accuracy %) on CBT-NE dataset
['Model', 'Validation', 'Test']
The NE-Embeddings are also added to window memory, in place of the NEs. The query (q) embedding is used to attend over the memory (list of encoded window memory slots) to get relevant information from the memory. The internal state generated is given as input to the NE-Retrieval Module (gθ), for retrieving the correct NE answer (a). Hill et al. We think that since the window size is small, both BoW and LSTM models perform similarly. We provide model training and hyperparameter details in the Appendix.