Ненадзорный QA
method
ID: unsupervisedqa
Related Papers
Harvesting and Refining Question-Answer Pairs for Unsupervised QA
AbstractQuestion Answering (QA) has shown great success thanks to the availability of large-scale datasets and the effectiveness of neural models. Recent research works have attempted to extend these successes to …...
PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora
AbstractSupervised Question Answering systems (QA systems) rely on domain-specific human-labeled data for training. Unsupervised QA systems generate their own question-answer training pairs, typically using secondary knowledge sources to achieve this …...