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Found 5 papers, 2 papers with code
Knowledge-Aided Open-Domain Question Answering
During document retrieval, a candidate document is scored by considering its relationship to the question and other documents.
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
Neural models have achieved great success on machine reading comprehension (MRC), many of which typically consist of two components: an evidence extractor and an answer predictor.
Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization
In this paper, we address the over-confidence issue and the over-sensitivity issue existing in current RC models simultaneously with the help of external linguistic knowledge.
An Interpretable Reasoning Network for Multi-Relation Question Answering
Multi-relation Question Answering is a challenging task, due to the requirement of elaborated analysis on questions and reasoning over multiple fact triples in knowledge base.
Knowlege Graph Embedding by Flexible Translation
TransF regards relation as translation between head entity vector and tail entity vector with flexible magnitude.
