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arXiv · 2201.07449

TourBERT: A pretrained language model for the tourism industry

Veronika Arefieva·Roman Egger
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Abstract

The Bidirectional Encoder Representations from Transformers (BERT) is currently one of the most important and state-of-the-art models for natural language. However, it has also been shown that for domain-specific tasks it is helpful to pretrain BERT on a domain-specific corpus. In this paper, we present TourBERT, a pretrained language model for tourism. We describe how TourBERT was developed and evaluated. The evaluations show that TourBERT is outperforming BERT in all tourism-specific tasks.

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BibTeXRIS

Veronika Arefieva, Roman Egger. 2022-01-19. TourBERT: A pretrained language model for the tourism industry. https://doi.org/10.13140/rg.2.2.18322.99525

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