Since product attribute information is always conveyed by entity words (up to 89.72% in input keywords), FPDG generates faithful product descriptions by taking into account the entity label of each word.
first, we propose an Entity-label-guided Long Short-Term Memory (ELSTM) as the cell in the decoder RNN, which takes the entity label of an input word, as well as the word itself as input.