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%0 Conference Proceedings
%T Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence
%A Kurata, Gakuto
%A Xiang, Bing
%A Zhou, Bowen
%Y Knight, Kevin
%Y Nenkova, Ani
%Y Rambow, Owen
%S Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
%D 2016
%8 June
%I Association for Computational Linguistics
%C San Diego, California
%F kurata-etal-2016-improved
%R 10.18653/v1/N16-1063
%U https://aclanthology.org/N16-1063
%U https://doi.org/10.18653/v1/N16-1063
%P 521-526

Markdown (Informal)

[Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence](https://aclanthology.org/N16-1063) (Kurata et al., NAACL 2016)

• Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence (Kurata et al., NAACL 2016)

ACL

• Gakuto Kurata, Bing Xiang, and Bowen Zhou. 2016. Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 521–526, San Diego, California. Association for Computational Linguistics.