MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection

@inproceedings{Zarrella2016MITREAS,
  title={MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection},
  author={Guido Zarrella and Amy Marsh},
  booktitle={SemEval@NAACL-HLT},
  year={2016}
}
We describe MITRE's submission to the SemEval-2016 Task 6, Detecting Stance in Tweets. This effort achieved the top score in Task A on supervised stance detection, producing an average F1 score of 67.8 when assessing whether a tweet author was in favor or against a topic. We employed a recurrent neural network initialized with features learned via distant supervision on two large unlabeled datasets. We trained embeddings of words and phrases with the word2vec skip-gram method, then used those… CONTINUE READING

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