[
  {
    "F1": 95,
    "code_links": [
      {
        "title": "fastnlp/TENER",
        "url": "https://github.com/fastnlp/TENER"
      },
      {
        "title": "qq547276542/TF_adapting_transformer",
        "url": "https://github.com/qq547276542/TF_adapting_transformer"
      },
      {
        "title": "dhiraa/tener",
        "url": "https://github.com/dhiraa/tener"
      }
    ],
    "date": "2019-11-10",
    "date2": 20191110,
    "model": "TENER",
    "paper": {
      "title": "TENER: Adapting Transformer Encoder for Named Entity Recognition",
      "url": "https://cknow.io/lib/594773973d2ff5aa"
    },
    "paper_data_uoa": "594773973d2ff5aa"
  },
  {
    "F1": 94.46,
    "code_links": [
      {
        "title": "jiesutd/LatticeLSTM",
        "url": "https://github.com/jiesutd/LatticeLSTM"
      },
      {
        "title": "LeeSureman/Batch_Parallel_LatticeLSTM",
        "url": "https://github.com/LeeSureman/Batch_Parallel_LatticeLSTM"
      },
      {
        "title": "Houlong66/lattice_lstm_with_pytorch",
        "url": "https://github.com/Houlong66/lattice_lstm_with_pytorch"
      }
    ],
    "date": "2018-05-05",
    "date2": 20180505,
    "model": "Lattice",
    "paper": {
      "title": "Chinese NER Using Lattice LSTM",
      "url": "https://cknow.io/lib/272ec8cdc1f40cb8"
    },
    "paper_data_uoa": "272ec8cdc1f40cb8"
  }
]