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%0 Conference Proceedings
%T Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities
%A Yang, Yi
%A Chang, Ming-Wei
%A Eisenstein, Jacob
%Y Su, Jian
%Y Duh, Kevin
%Y Carreras, Xavier
%S Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
%D 2016
%8 November
%I Association for Computational Linguistics
%C Austin, Texas
%F yang-etal-2016-toward
%R 10.18653/v1/D16-1152
%U https://aclanthology.org/D16-1152
%U https://doi.org/10.18653/v1/D16-1152
%P 1452-1461

Markdown (Informal)

[Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities](https://aclanthology.org/D16-1152) (Yang et al., EMNLP 2016)

• Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities (Yang et al., EMNLP 2016)

ACL

• Yi Yang, Ming-Wei Chang, and Jacob Eisenstein. 2016. Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1452–1461, Austin, Texas. Association for Computational Linguistics.