Question: What conclusions are drawn from these experiments?
Answer: best results were obtained using new word embeddings, best group of word embeddings is EC, The highest type F1-score was obtained for EC1 model, built using binary FastText Skip-gram method utilising subword information, ability of the model to provide vector representation for the unknown words seems to be the most important