TourBERT: A pretrained language model for the tourism industry
Johannes Keppler University of Linz（林茨约翰内斯·开普勒大学）；Salzburg University of Applied Sciences（萨尔茨堡应用科学大学）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
