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Found 3 papers, 3 papers with code
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.
Unsupervised Question Answering via Answer Diversifying
Previous works usually make use of heuristic rules as well as pre-trained models to construct data and train QA models.
Multi-task Learning for Low-resource Second Language Acquisition Modeling
Second language acquisition (SLA) modeling is to predict whether second language learners could correctly answer the questions according to what they have learned.
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