Answering Science Exam Questions Using Query Rewriting with Background Knowledge

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Improving Question Answering with External Knowledge (2019, methodology): “Most previous methods (Khashabi et al., 2017; Musa et al., 2018; Ni et al., 2019; Yadav et al., 2019) perform information retrieval on the reference corpus to retrieve relevant sentences to form reference documents.”
Repurposing Entailment for Multi-Hop Question Answering Tasks (2019, methodology): “Entailment models trained on this dataset show minor improvements on the Aristo Reasoning Challenge (Clark et al., 2018; Musa et al., 2018).”
Careful Selection of Knowledge to Solve Open Book Question Answering (2019, methodology): “Related to our work for extracting missing knowledge are the works of (Ni et al., 2018; Musa et al., 2018; Khashabi et al., 2017) which respectively generate a query either by extracting key terms from a question and an answer option or by classifying key terms or by Seq2Seq models to generate key t”
Alignment over Heterogeneous Embeddings for Question Answering (2019, methodology): “Wang and Jiang, 2016; Wang et al., 2017b; Ty-moshenko et al., 2017; Xiong et al., 2016a; Wang et al., 2018; Radford et al., 2018; Li et al., 2018, inter alia).”