Follow the Path: Hierarchy-Aware Extreme Multi-Label Completion for Semantic Text Tagging

Author:

Ostapuk Natalia1ORCID,Audiffren Julien1ORCID,Dolamic Ljiljana2ORCID,Mermoud Alain3ORCID,Cudré-Mauroux Philippe1ORCID

Affiliation:

1. University of Fribourg, Fribourg, Switzerland

2. armasuisse S+T, Thun, Switzerland

3. armasuisse S+T, Lausanne, Switzerland

Publisher

ACM

Reference36 articles.

1. DiSMEC

2. Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, and Prateek Jain. 2015. Sparse Local Embeddings for Extreme Multi-label Classification. In Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7--12, 2015, Montreal, Quebec, Canada. 730--738.

3. Multi-label classification of legislative contents with hierarchical label attention networks

4. Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, and Inderjit S. Dhillon. 2020. Taming Pretrained Transformers for Extreme Multi-label Text Classification. In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23--27, 2020. ACM, 3163--3171.

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