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%0 Conference Proceedings
%T Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction
%A Falk, Stefan
%A Rexha, Andi
%A Kern, Roman
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Cer, Daniel
%Y Jurgens, David
%Y Nakov, Preslav
%Y Zesch, Torsten
%S Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
%D 2016
%8 June
%I Association for Computational Linguistics
%C San Diego, California
%F falk-etal-2016-know
%R 10.18653/v1/S16-1042
%U https://aclanthology.org/S16-1042
%U https://doi.org/10.18653/v1/S16-1042
%P 266-270

Markdown (Informal)

[Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction](https://aclanthology.org/S16-1042) (Falk et al., SemEval 2016)

• Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction (Falk et al., SemEval 2016)

ACL

• Stefan Falk, Andi Rexha, and Roman Kern. 2016. Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pages 266–270, San Diego, California. Association for Computational Linguistics.