Tag: Summarization

Mixture Content Selection for Diverse Sequence Generation (EMNLP-IJCNLP 2019)

Mixture Content Selection for Diverse Sequence Generation (EMNLP 2019) Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi arXiv Github Seq2Seq is not for One-to-Many Mapping Comparison between the standard encoder-decoder model and ours An RNN Encoder-Decoder (Seq2Seq) model is widely used for sequence generation, in particular, machine translation in which neural models are as competent as human […]