FPDG takes the entity label of each word into account, since the product attribute information is always conveyed by entity words.
we first propose a Recurrent Neural Network (RNN) decoder based on the Entity-labelguided Long Short-Term Memory (ELSTM) cell, taking both the embedding and the entity label of each word as input.