[
  {
    "Accuracy": 90.3,
    "code_links": [
      {
        "title": "huggingface/transformers",
        "url": "https://github.com/huggingface/transformers"
      },
      {
        "title": "zihangdai/xlnet",
        "url": "https://github.com/zihangdai/xlnet"
      },
      {
        "title": "kaushaltrivedi/fast-bert",
        "url": "https://github.com/kaushaltrivedi/fast-bert"
      },
      {
        "title": "graykode/xlnet-Pytorch",
        "url": "https://github.com/graykode/xlnet-Pytorch"
      },
      {
        "title": "pingpong-ai/xlnet-pytorch",
        "url": "https://github.com/pingpong-ai/xlnet-pytorch"
      },
      {
        "title": "fanchenyou/transformer-study",
        "url": "https://github.com/fanchenyou/transformer-study"
      },
      {
        "title": "tomgoter/nlp_finalproject",
        "url": "https://github.com/tomgoter/nlp_finalproject"
      },
      {
        "title": "pauldevos/python-notes",
        "url": "https://github.com/pauldevos/python-notes"
      },
      {
        "title": "samwisegamjeee/pytorch-transformers",
        "url": "https://github.com/samwisegamjeee/pytorch-transformers"
      },
      {
        "title": "listenviolet/XLNet",
        "url": "https://github.com/listenviolet/XLNet"
      },
      {
        "title": "2miatran/Natural-Language-Processing",
        "url": "https://github.com/2miatran/Natural-Language-Processing"
      },
      {
        "title": "pink-vanilla-skies/nlp",
        "url": "https://github.com/pink-vanilla-skies/nlp"
      }
    ],
    "date": "2019-06-19",
    "date2": 20190619,
    "model": "XLNet",
    "paper": {
      "title": "XLNet: Generalized Autoregressive Pretraining for Language Understanding",
      "url": "https://cknow.io/lib/80d0256704c2415c"
    },
    "paper_data_uoa": "80d0256704c2415c"
  },
  {
    "Accuracy": 88.01,
    "code_links": [],
    "date": "2018-12-05",
    "date2": 20181205,
    "model": "aESIM",
    "paper": {
      "title": "Attention Boosted Sequential Inference Model",
      "url": "https://cknow.io/lib/e42e1da157243f88"
    },
    "paper_data_uoa": "e42e1da157243f88"
  }
]