[
  {
    "F0.5": 56.25,
    "code_links": [],
    "date": "2018-06-01",
    "date2": 20180601,
    "model": "SMT + BiGRU",
    "paper": {
      "title": "Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation",
      "url": "https://cknow.io/lib/b4a5d46ac8e59d52"
    },
    "paper_data_uoa": "b4a5d46ac8e59d52"
  },
  {
    "F0.5": 56.52,
    "code_links": [
      {
        "title": "nusnlp/neuqe",
        "url": "https://github.com/nusnlp/neuqe"
      }
    ],
    "date": "2018-10-01",
    "date2": 20181001,
    "model": "CNN Seq2Seq + Quality Estimation",
    "paper": {
      "title": "Neural Quality Estimation of Grammatical Error Correction",
      "url": "https://cknow.io/lib/106a4575199e9a85"
    },
    "paper_data_uoa": "106a4575199e9a85"
  },
  {
    "F0.5": 55.8,
    "code_links": [],
    "date": "2018-06-01",
    "date2": 20180601,
    "model": "Transformer",
    "paper": {
      "title": "Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task",
      "url": "https://cknow.io/lib/60f794ed4b26f493"
    },
    "paper_data_uoa": "60f794ed4b26f493"
  },
  {
    "F0.5": "70.14 (measured by Ge et al., 2018)",
    "code_links": [
      {
        "title": "nusnlp/mlconvgec2018",
        "url": "https://github.com/nusnlp/mlconvgec2018"
      },
      {
        "title": "seaweiqing/neuraltalk_plus_charcnn",
        "url": "https://github.com/seaweiqing/neuraltalk_plus_charcnn"
      },
      {
        "title": "seaweiqing/image2story",
        "url": "https://github.com/seaweiqing/image2story"
      }
    ],
    "date": "2018-01-26",
    "date2": 20180126,
    "model": "CNN Seq2Seq",
    "paper": {
      "title": "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction",
      "url": "https://cknow.io/lib/0466bb4d828be6ad"
    },
    "paper_data_uoa": "0466bb4d828be6ad"
  }
]