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| from typing import List, Union |
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|
| class EntityLinker: |
| def __init__(self, model_name:str="bela", device:str="cuda", tag:str="wikidata"): |
| """ |
| EntityLinker |
| |
| :param str model_name: model name (bela) |
| :param str device: device for running model on |
| :param str tag: Entity linking tag (wikidata) |
| |
| You can read about bela model at `https://github.com/PyThaiNLP/MultiEL \ |
| <https://github.com/PyThaiNLP/MultiEL>`_. |
| """ |
| self.model_name = model_name |
| self.device = device |
| self.tag = tag |
| if self.model_name not in ["bela"]: |
| raise NotImplementedError(f"EntityLinker doesn't support {model_name} model.") |
| if self.tag not in ["wikidata"]: |
| raise NotImplementedError(f"EntityLinker doesn't support {tag} tag.") |
| from pythainlp.el._multiel import MultiEL |
| self.model = MultiEL(model_name=self.model_name, device=self.device) |
| def get_el(self, list_text:Union[List[str], str])->Union[List[dict], str]: |
| """ |
| Get Entity Linking from Thai Text |
| |
| :param str Union[List[str], str]: list of Thai text or text |
| :return: list of entity linking |
| :rtype: Union[List[dict], str] |
| |
| :Example: |
| :: |
| |
| from pythainlp.el import EntityLinker |
| |
| el = EntityLinker(device="cuda") |
| print(el.get_el("จ๊อบเคยเป็นซีอีโอบริษัทแอปเปิล")) |
| # output: [{'offsets': [11, 23], |
| # 'lengths': [6, 7], |
| # 'entities': ['Q484876', 'Q312'], |
| # 'md_scores': [0.30301809310913086, 0.6399497389793396], |
| # 'el_scores': [0.7142490744590759, 0.8657019734382629]}] |
| """ |
| return self.model.process_batch(list_text) |
|
|