The results of Part-of-speech tagging is not as accurate as the demo page. What model is used for demo page?

HanLP
#1

Hello here, I need some help. I used the part-of-speech tagging (PKU) but the result is not as accurate as on the demo page. What is model used in the demo page? How can I make it to achieve the same result?

Case: I have a text “查下实名 mp0000102956 于甜甜” and I want to extract a person name from it.

  • On my code
hanlp.load(
    hanlp.hanlp.pretrained.mtl.CLOSE_TOK_POS_NER_SRL_DEP_SDP_CON_ELECTRA_BASE_ZH
)
result = hanlp_mtl_base(text, tasks="pos/pku")

Result:

{
  "tok/fine": [
    "查",
    "下",
    "实名",
    "mp0000102956",
    "于",
    "甜甜"
  ],
  "pos/pku": [
    "v",
    "v",
    "n",
    "m",
    "p",
    "nr"
  ]
}
#2

Hi, the model weight on our server is proprietary and it is meant to outperform the opensource ones. The only way to access it is our RESTful service.