# -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
from typing import List, Union
[docs]
class EntityLinker:
[docs]
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)
[docs]
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)