{
  "id": "structuredattention2017",
  "title": "Structured Attention Networks",
  "authors": [
    {
      "given": "Yoon",
      "family": "Kim"
    },
    {
      "given": "Carl",
      "family": "Denton"
    },
    {
      "given": "Luong",
      "family": "Hoang"
    },
    {
      "given": "Alexander M.",
      "family": "Rush"
    }
  ],
  "year": 2017,
  "venue": "ICLR 2017",
  "paper_url": "https://arxiv.org/abs/1702.00887",
  "summary": "使用可微图模型推断，对子序列和句法树进行注意力计算。",
  "connection": "建模结构化选择并计算期望表示；对完整预测进行边缘化是不同的操作。",
  "bibtex_type": "inproceedings",
  "citation_key": "kim2017structured",
  "source_urls": [
    "https://arxiv.org/abs/1702.00887",
    "https://arxiv.org/html/1702.00887v3"
  ],
  "equal_contribution": [
    "Yoon Kim",
    "Carl Denton"
  ],
  "arxiv_id": "1702.00887",
  "arxiv_first_posted": "2017-02-03",
  "updated_at": "2026-11-11",
  "description_language": "zh-Hans",
  "abstract_language": "en",
  "record_url": "https://yuntiandeng.com/research/zh/papers/structuredattention2017/"
}
