Dennis Felske

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2018

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Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines
Daniel Claeser | Samantha Kent | Dennis Felske
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching

This paper describes our system submission for the ACL 2018 shared task on named entity recognition (NER) in code-switched Twitter data. Our best result (F1 = 53.65) was obtained using a Support Vector Machine (SVM) with 14 features combined with rule-based post processing.
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