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TourBERT: A pretrained language model for the tourism industry

2022-01-19 07:24:30
Veronika Arefieva, Roman Egger
arXiv_CL
       
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.

Abstract (translated)

URL

https://arxiv.org/abs/2201.07449

PDF

https://arxiv.org/pdf/2201.07449.pdf

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