{
    "author": null,
    "date_published": "2021-04-13T20:21:00.000Z",
    "dek": null,
    "direction": "ltr",
    "domain": "arxiv.org",
    "excerpt": "The problem of answering questions using knowledge from pre-trained language models (LMs) and knowledge graphs (KGs) presents two challenges: given a QA context (question and answer choice), methods&hellip;",
    "lead_image_url": "https://static.arxiv.org/icons/twitter/arxiv-logo-twitter-square.png",
    "next_page_url": null,
    "rendered_pages": 1,
    "title": "QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering",
    "total_pages": 1,
    "url": "https://arxiv.org/abs/2104.06378v4",
    "word_count": 193
}