W&G-BERT: A Pretrained Language Model for Automotive Warranty and Goodwill Text

Author:

Weber Lukas Jonathan1,Ramalingam Krishnan Jothi2,Beyer Matthias1,Kirchheim Alice3,Zimmermann Axel4

Affiliation:

1. Product evaluation and market analysis Mercedes-Benz AG,Stuttgart,Germany

2. Institute for communications technology Technical University of Braunschweig,Braunschweig,Germany

3. Helmut-Schmidt-University of Hamburg,Technology of logistics systems,Hamburg,Germany

4. European University of Applied Sciences Hamburg,Industrial engineering,Hamburg,Germany

Publisher

IEEE

Reference25 articles.

1. W&G-Bert: A Concept for a Pre-Trained Automotive Warranty and Goodwill Language Representation Model for Warranty and Goodwill Text Mining

2. SciBERT: A Pretrained Language Model for Scientific Text

3. Google’s neural machine translation system: Bridging the gap between human and machine translation;wu;CoRR abs/1609 08144,2016

4. Representing text chunks;sang;Ninth Conference of the European Chapter of the Association for Computational Linguistics,1999

5. Wiki to automotive: Understanding the distribution shift and its impact on named entity recognition;nayak;CoRR abs/2112 00283,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Dataset for Entity Recognition in the Automotive Warranty and Goodwill Domain;2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD);2024-05-24

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