Before revision: We aim to improve question answering (QA) by decomposing hard questions into easier sub-questions that existing QA systems can answer. Since collecting labeled decompositions is cumbersome, we propose an unsupervised approach to produce sub-questions . Specifically, by leveraging >10M questions from Common Crawl, we learn to map from the distribution of multi-hop questions to the distribution of single-hop sub-questions.
After revision: We aim to improve question answering (QA) by decomposing hard questions into easier sub-questions that existing QA systems are capable of answering. Since labeling questions with decompositions is cumbersome, we propose an unsupervised approach to produce sub-questions . Specifically, by leveraging >10M questions from Common Crawl, we learn to map from the distribution of multi-hop questions to the distribution of single-hop sub-questions.