The repo contains the notebook and generated texts created for the SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis Shared Task. The corresponding paper is: Anna Glazkova. 2023. tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection using XLM-T, Google Translate, and Ensemble Learning. Proceedings of SemEval-2023 (in print).
- The code for fine-tuning XLM-T
- Additional data obtained with Google Translator: trainslated_train.pickle, translated_test.pickle
These files can be read by:
import pickle
with open('translated_train.pickle', 'rb') as f:
translated_texts = pickle.load(f)