Rotten Tomatoes and Idebate dataset (Wang and Ling, 2016) use online text as source, but they are relatively small in scale: 3.7K posts of Rotten-Tomatoes compared to 80K posts of TIFU-short as shown in Table 1.
second, we propose a novel abstractive summarization model named multilevel memory networks (MMN), equipped with multi-level memory to store the information of text from different levels of abstraction.