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arXiv · 2211.02429

Dealing with Abbreviations in the Slovenian Biographical Lexicon

Angel Daza·Antske Fokkens·Tomaž Erjavec
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Abstract

Abbreviations present a significant challenge for NLP systems because they cause tokenization and out-of-vocabulary errors. They can also make the text less readable, especially in reference printed books, where they are extensively used. Abbreviations are especially problematic in low-resource settings, where systems are less robust to begin with. In this paper, we propose a new method for addressing the problems caused by a high density of domain-specific abbreviations in a text. We apply this method to the case of a Slovenian biographical lexicon and evaluate it on a newly developed gold-standard dataset of 51 Slovenian biographies. Our abbreviation identification method performs significantly better than commonly used ad-hoc solutions, especially at identifying unseen abbreviations. We also propose and present the results of a method for expanding the identified abbreviations in context.

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Angel Daza, Antske Fokkens, Tomaž Erjavec. 2022-11-04. Dealing with Abbreviations in the Slovenian Biographical Lexicon. https://arxiv.org/abs/2211.02429

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