Search Results for author:
Found 9 papers, 2 papers with code
ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter
On the Spanish data our system is ranked 25th out of 39.
LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness
We present results for Subtask A and C of SemEval 2019 Shared Task 6.
Agree or Disagree: Predicting Judgments on Nuanced Assertions
Being able to predict whether people agree or disagree with an assertion (i. e. an explicit, self-contained statement) has several applications ranging from predicting how many people will like or dislike a social media post to classifying posts based on whether they are in accordance with a particular point of view.
Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis
Some users of social media are spreading racist, sexist, and otherwise hateful content.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
