{"paper":{"title":"Question Answering and Question Generation as Dual Tasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Duyu Tang, Ming Zhou, Nan Duan, Tao Qin, Zhao Yan","submitted_at":"2017-06-07T02:06:58Z","abstract_excerpt":"We study the problem of joint question answering (QA) and question generation (QG) in this paper.\n  Our intuition is that QA and QG have intrinsic connections and these two tasks could improve each other.\n  On one side, the QA model judges whether the generated question of a QG model is relevant to the answer.\n  On the other side, the QG model provides the probability of generating a question given the answer, which is a useful evidence that in turn facilitates QA.\n  In this paper we regard QA and QG as dual tasks.\n  We propose a training framework that trains the models of QA and QG simultane"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.02027","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}