SO at SemEval-2020 Task 7: DeepPavlov Logistic Regression with BERT Embeddings vs SVR at Funniness Evaluation
А. В. Соловьева · 2020
This paper describes my efforts in evaluating how editing news headlines can make them funnier within the frames of SemEval 2020 Task 7. I participated in both of the sub-tasks: Sub-Task 1 "Regression" and Sub-task 2 "Predict the funnier of the two edited versions of an original headline".I experimented with a number of different models, but ended up using DeepPavlov logistic regression (LR) with BERT English cased embeddings for the first sub-task and support vector regression model (SVR) for the second.RMSE score obtained for the first task was 0.65099 and accuracy for the second -0.32915.