A Multi-task Approach to Neural Multi-label Hierarchical Patent Classification Using Transformers

Author:

Pujari Subhash Chandra,Friedrich Annemarie,Strötgen Jannik

Publisher

Springer International Publishing

Reference40 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);L Abdelgawad,2020

2. Aggarwal, C.C., Zhai, C.: Mining Text Data, chap. A Survey of Text Classification Algorithms, pp. 163–222. Springer (2012). https://doi.org/10.1007/978-1-4614-3223-4_6

3. Beltagy, I., Lo, K., Cohan, A.: SciBERT: a pretrained language model for scientific text. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, pp. 3615–3620. Association for Computational Linguistics, November 2019

4. Benites, F.: TwistBytes - hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision). In: Proceedings of the 15th Conference on Natural Language Processing (KONVENS). Erlangen, Germany, October 2019

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