TSA / outline.py
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add outline and BERTinference
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import numpy as np
from scipy.cluster.hierarchy import linkage, fcluster, dendrogram
import matplotlib.pyplot as plt
def passage_outline(matrix,sentences):
# matrix = np.array([[1.0, 0.8, 0.2, 0.1],
# [0.8, 1.0, 0.3, 0.2],
# [0.2, 0.3, 1.0, 0.9],
# [0.1, 0.2, 0.9, 1.0]])
# sentences = ["主题句子1", "主题句子2", "主题句子3", "主题句子4"]
Z = linkage(matrix, method="average")
labels = fcluster(Z, t=0.5, criterion="distance")
# 根据簇标签和主题句子生成文章结构
structure = {}
for label, sentence in zip(labels, sentences):
if label not in structure:
structure[label] = []
structure[label].append(sentence)
outline = ""
outline_list = []
for key in sorted(structure.keys()):
outline_list.append(f"主题{key}:")
outline = outline+f"主题{key}:\n"
for sentence in structure[key]:
outline_list.append(sentence)
outline = outline+f"- {sentence}\n"
return outline,outline_list