However, they suffer from two problems: (1) The features they used often need to be manually designed and may involve error propagation from existing NLP tools; (2) Sentence-level and document-level information are integrated by a large number of fixed rules, which is complicated to construct and it will be far from complete.
how to use a neural-based model to automatically extract sentence-level and document-level information and dynamically integrate them is another challenging problem.