8 papers with code • 1 benchmarks • 1 datasets
This paper proposes a recommender system to alleviate the cold-start problem that can estimate user preferences based on only a small number of items.
Evidence retrieval is a critical stage of question answering (QA), necessary not only to improve performance, but also to explain the decisions of the corresponding QA method.
Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network
The proposed model mainly focuses on the evidence selection phase of long document question answering.
Visual question answering on document images that contain textual, visual, and layout information, called document VQA, has received much attention recently.
Firstly, to offer systematic evaluations, we select fifteen typical logical reasoning datasets and organize them into deductive, inductive, abductive and mixed-form reasoning settings.