The task is to create and analyze different models (MLP,RNN,LSTM,GRU) with different embedding strategies (merge, sum, concatenation of embeddings...) for the task of fact checking, i.e. determine whether a given sentence is confirmed or refuted by a dataset of claims. The tests are done on the FEVER dataset and the results can be seen in the corresponding report.pdf file