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%0 Conference Proceedings
%T Composition of Word Representations Improves Semantic Role Labelling
%A Roth, Michael
%A Woodsend, Kristian
%Y Moschitti, Alessandro
%Y Pang, Bo
%Y Daelemans, Walter
%S Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
%D 2014
%8 October
%I Association for Computational Linguistics
%C Doha, Qatar
%F roth-woodsend-2014-composition
%R 10.3115/v1/D14-1045
%U https://aclanthology.org/D14-1045
%U https://doi.org/10.3115/v1/D14-1045
%P 407-413

Markdown (Informal)

[Composition of Word Representations Improves Semantic Role Labelling](https://aclanthology.org/D14-1045) (Roth & Woodsend, EMNLP 2014)

• Composition of Word Representations Improves Semantic Role Labelling (Roth & Woodsend, EMNLP 2014)

ACL

• Michael Roth and Kristian Woodsend. 2014. Composition of Word Representations Improves Semantic Role Labelling. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 407–413, Doha, Qatar. Association for Computational Linguistics.