取代非生物医学概念可以改善生物医学概念的嵌入
Enock Niyonkuru1,2, Mauricio Soto Gomez3, Elena Casiraghi3
1The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
bioRxiv : the preprint server for biology
|July 15, 2024
概括
取代非生物医学同义词可以改善生物医学概念的嵌入. 这种方法增强了矢量表示的语义相似性,有助于生物医学研究和数据分析.
科学领域:
- 计算生物学 计算生物学
- 自然语言处理自然语言处理.
- 生物信息学是一种生物信息学.
背景情况:
- 概念嵌入代表生物医学概念作为矢量,捕捉语义关系.
- 这些嵌入的质量对于生物医学研究下游应用至关重要.
- 同义词可以引入噪音并降低概念嵌入的有效性.
研究的目的:
- 测试是否替换非生物医学同义词可以改善生物医学概念的嵌入.
- 评估同义词规范化对矢量空间中的语义相似性的影响.
主要方法:
- 开发了一种使用WordNet识别和替换同义词集的方法.
- 用每个同义词集中最具代表性的术语取代同义词.
- 应用了Word2Vec算法,在同义词更换之前和之后生成概念嵌入.
主要成果:
- 在1055个概念集上进行了测试,显示平均集群内部距离减少了8%.
- 结果表明,在矢量空间中,相关概念的同类性 (集群) 得到了改善.
- 同义词的替换对生物医学概念嵌入的质量产生了积极的影响.
结论:
- 非生物医学同义词替换是一种可行的策略,可以增强生物医学概念的嵌入.
- 拟议的方法,在Python包 (wn2vec) 中实现,提供实际实用性.
- 这项试点研究表明了改善生物信息学中的基于矢量语义表示的有希望的方向.
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