最近更新时间:2023.6.15
最早更新时间:2023.6.8
作者是真的一点迁移学习的基础都没有,除非你硬要把科普也算上。
但凡我稍微会多一点迁移学习,也不至于一点都不会。
文章目录
1. 应用论文
- (2023 TACL) T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification:跨语言文本分类
- (2023 Journal of Survey in Machine Learning Research and Applications) Survey of Transfer Learning Techniques in Natural Language Processing:综述
- (2023 European Journal of Technology) Transfer Learning in Natural Language Processing (NLP):综述
- (2023 Interspeech) Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization
- (2023) An Empirical Study on Cross-X Transfer for Legal Judgment Prediction:跨语言迁移学习
- (2023) AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation
- (2022) Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification
- (2021 Big Data) An Empirical Study on Transfer Learning for Privilege Review
- (2021) Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer Models:零样本跨语言迁移学习
- (2021) Customizing Contextualized Language Models for Legal Document Reviews:从开放域迁移到法律专业领域
- (2018) Named-Entity Linking Using Deep Learning For Legal Documents: A Transfer Learning Approach
该博文目录涵盖一系列关于迁移学习在自然语言处理中的应用论文,包括跨语言文本分类、预训练模型在语音摘要、法律判断预测中的作用。特别关注了法律领域的零样本和部分平衡领域适应,以及深度学习在法律文档理解和命名实体链接中的迁移学习方法。
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