Patent classification by fine-tuning BERT language model-Reference-Cited by-同舟云学术

Patent classification by fine-tuning BERT language model

Published:2020-06 Issue: Volume:61 Page:101965
ISSN:0172-2190
Container-title:World Patent Information
language:en
Short-container-title:World Patent Information

Author:

Lee Jieh-Sheng,Hsiang Jieh

Funder

Ministry of Science and Technology (MOST) in Taiwan

Publisher

Elsevier BV

Subject

Library and Information Sciences,Computer Science Applications,Process Chemistry and Technology,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment,Bioengineering

Reference18 articles.

1. Deep contextualized word Representations;Peters,2018

2. Universal Language model fine-tuning for text classification;Howard,2018

3. A. Radford, K. Narasimhan, T. Salimans, I. Sutskever, Improving Language Understanding by Generative Pre-training, 2018, unpublished manuscript, https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf.

4. BERT: pre-training of deep bidirectional Transformers for language understanding;Devlin,2019

5. Language Models Are Unsupervised Multitask Learners;Radrof,2018

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