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from .base_multi_doc_model import MultiDocSummModel
from model.base_model import SummModel
from model.single_doc import TextRankModel
from typing import Union, List
class MultiDocJointModel(MultiDocSummModel):
model_name = "Multi-document joint"
is_multi_document = True
def __init__(self, model_backend: SummModel = TextRankModel, **kwargs):
super(MultiDocJointModel, self).__init__()
model = model_backend(**kwargs)
self.model = model
def summarize(
self,
corpus: Union[List[str], List[List[str]]],
query: Union[List[str], List[List[str]]] = None,
) -> List[str]:
self.assert_summ_input_type(corpus, None)
joint_corpus = []
for instance in corpus:
joint_corpus.append(" ".join(instance))
summaries = self.model.summarize(joint_corpus)
return summaries
@classmethod
def generate_basic_description(cls) -> str:
basic_description = (
"MultiDocJointModel performs multi-document summarization by"
" first concatenating all documents,"
" and then performing single-document summarization on the concatenation."
)
return basic_description
@classmethod
def show_capability(cls):
basic_description = cls.generate_basic_description()
more_details = (
"A multi-document summarization model."
" Allows for custom model backend selection at initialization."
" Concatenates each document in corpus and returns single-document summarization of joint corpus.\n"
"Strengths: \n - Allows for control of backend model.\n"
"Weaknesses: \n - Assumes all documents are equally weighted.\n"
" - May fail to extract information from certain documents.\n"
)
print(f"{basic_description}\n{'#' * 20}\n{more_details}")
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