Multilingual named entity recognition on spanish-english code-switched tweets using support vector machines

Claeser, DanielDanielClaeserKent, SamanthaSamanthaKentFelske, DennisDennisFelske2022-03-132022-03-132018https://publica.fraunhofer.de/handle/publica/40092210.18653/v1/W18-3218This paper describes our system submission for the ACL 2018 shared task on named entity recognition (NER) in codeswitched Twitter data. Our best result (F1 = 53.65) was obtained using a Support Vector Machine (SVM) with 14 features combined with rule-based postprocessing.en004Multilingual named entity recognition on spanish-english code-switched tweets using support vector machinesconference paper