使用文本挖掘提取与时间相关的表达式,并应用于希伯来语
Dror Mughaz1,2, Yaakov HaCohen-Kerner1, Dov Gabbay2,3
1Dept. of Computer Science, Jerusalem College of Technology-Lev Academic Center, Jerusalem, Israel.
PloS one
|February 23, 2024
概括
这项研究半自动地从拉比文本中提取时间表达式. 新的统计功能和选方法显著减少了潜在的表达式,提高了分析历史文档的准确性.
科学领域:
- 计算语言学 计算语言学
- 数字人文学科 数字人文学科
- 宗教研究是宗教研究.
背景情况:
- 拉比文本包含复杂的时间表达式,通常与引用联系在一起.
- 识别这些与时间相关的表达式对于准确的历史和语言分析至关重要.
- 以前的方法缺乏效率和精确性,无法从这些专业机构提取时间数据.
研究的目的:
- 开发一种半自动的方法,从拉比文本中提取时间相关的表达式.
- 提高历史宗教文件中时间数据识别的效率和准确性.
- 为这个特定的语言任务创建和测试新的统计函数和启发式方法.
主要方法:
- 采用了半自动的方法,最初识别了所有接近拉比文献的表达式.
- 制定了两个新的统计函数来分析和过潜在时间表达式.
- 应用语法选和启发式方法来完善提取的数据.
主要成果:
- 这些方法成功过了潜在的与时间相关的表达式,将484,681个初始短语减少到575.
- 在候选表达式中实现了99.88%的显著减少.
- 这种方法在具有明显拉比引用的respons文件库上表现出了高效率.
结论:
- 开发的半自动方法,利用统计函数和选,有效地从拉比文献中提取时间表达式.
- 这种方法在专业企业中为时间数据分析提供了显著的精度和效率改进.
- 这些发现有助于对历史宗教文本进行更准确的计算分析.
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