Dennis Felske
2018
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
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.