no code implementations • 7 Apr 2020 • Leon Schüller, Florian Wilhelm, Nico Kreiling, Goran Glavaš
Neural summarization models suffer from the fixed-size input limitation: if text length surpasses the model's maximal number of input tokens, some document content (possibly summary-relevant) gets truncated Independently summarizing windows of maximal input size disallows for information flow between windows and leads to incoherent summaries.