Daniel Claeser


2022

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Fraunhofer FKIE @ SMM4H 2022: System Description for Shared Tasks 2, 4 and 9
Daniel Claeser | Samantha Kent
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task

We present our results for the shared tasks 2, 4 and 9 at the SMM4H Workshop at COLING 2022 achieved by succesfully fine-tuning pre-trained language models to the downstream tasks. We identify the occurence of code-switching in the test data for task 2 as a possible source of considerable performance degradation on the test set scores. We successfully exploit structural linguistic similarities in the datasets of tasks 4 and 9 for training on joined datasets, scoring first in task 9 and on par with SOTA in task 4.

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.