Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines
2018-07-01WS 2018Unverified0· sign in to hype
Daniel Claeser, Samantha Kent, Dennis Felske
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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.