Computer Science > Computation and Language
arXiv:2211.02429 (cs)
[Submitted on 4 Nov 2022]
Title:Dealing with Abbreviations in the Slovenian Biographical Lexicon
View a PDF of the paper titled Dealing with Abbreviations in the Slovenian Biographical Lexicon, by Angel Daza and 2 other authors
View PDFAbstract: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.
| Comments: | To be presented at The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2211.02429 [cs.CL] |
| (orarXiv:2211.02429v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2211.02429 arXiv-issued DOI via DataCite |
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View a PDF of the paper titled Dealing with Abbreviations in the Slovenian Biographical Lexicon, by Angel Daza and 2 other authors
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