Our work is built on the success of deep keyphrase generation models based on neural sequence-to-sequence (seq2seq) framework (Meng et al., 2017).
existing models, though effective on well-edited documents (e.g., scientific articles), will inevitably encounter the data sparsity issue when adapted to social media.