Neural, Non-neural and Hybrid Stance Detection in Tweets on Catalan Independence

@inproceedings{Wojatzki2017NeuralNA,
  title={Neural, Non-neural and Hybrid Stance Detection in Tweets on Catalan Independence},
  author={Michael Wojatzki and Torsten Zesch},
  booktitle={IberEval@SEPLN},
  year={2017}
}
We present our system LTL_UNI_DUE which participated in the shared task on automated stance detection in tweets on Catalan independence at IberEval 2017. In our system, we combine neural (LSTM) and non-neural (SVM) classifiers to a hybrid approach using a decision tree and heuristics. 
2 Citations
Overview of the Task on Stance and Gender Detection in Tweets on Catalan Independence
TLDR
The datasets are presented, which include annotations for dealing with stance and gender, the evaluation methodology, and discuss results and participating systems. Expand
Stance Detection
TLDR
A survey of stance detection in social media posts and (online) regular texts is presented and it is hoped that this newly emerging topic will act as a significant resource for interested researchers and practitioners. Expand

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