Multilingual Normalization of Temporal Expressions with Masked Language Models

• URL: http://arxiv.org/abs/2205.10399v1
• Date: Fri, 20 May 2022 18:34:23 GMT
• Title: Multilingual Normalization of Temporal Expressions with Masked Language Models
• Abstract summary: We propose a novel neural method for normalizing temporal expressions based on masked language modeling. Our method outperforms prior rule-based systems in many languages, and in particular, for low-resource languages with performance improvements of up to 35 F1 on average.
• Score: 26.473014733177475
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The detection and normalization of temporal expressions is an important task and a preprocessing step for many applications. However, prior work on normalization is rule-based, which severely limits the applicability in real-world multilingual settings, due to the costly creation of new rules. We propose a novel neural method for normalizing temporal expressions based on masked language modeling. Our multilingual method outperforms prior rule-based systems in many languages, and in particular, for low-resource languages with performance improvements of up to 35 F1 on average compared to the state of the art.

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