论文标题

LSCDISCOVERY的BOS:可解释的词汇语义变化检测的词汇替代

BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection

论文作者

Kudisov, Artem, Arefyev, Nikolay

论文摘要

我们为西班牙语中词汇语义变化检测的LSCDISCOVERY共享任务提供了解决方案。我们的方法基于生成描述给定单词的新旧感觉的词汇替代品。这种方法在感性丧失和感官增益检测子任务中取得了第二好的结果。通过观察那些仅在一个时间段内特定的替代品,就可以理解获得或失去哪些感觉。这允许向用户提供有关语义更改的更详细信息,并使我们的方法可以解释。

We propose a solution for the LSCDiscovery shared task on Lexical Semantic Change Detection in Spanish. Our approach is based on generating lexical substitutes that describe old and new senses of a given word. This approach achieves the second best result in sense loss and sense gain detection subtasks. By observing those substitutes that are specific for only one time period, one can understand which senses were obtained or lost. This allows providing more detailed information about semantic change to the user and makes our method interpretable.

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