NLP tasks

This repository includes two projects for the Natural Language Processing class of the M.Sc. in Artificial Intelligence at Alma Mater Studiorum - Università di Bologna. In particular, the two projects are:

1. Part of Speech (POS) tagging: In this project different recurrent neural architectures are employed to perform sequence labeling on sentences taken from the dependency treebank dataset.
2. Fact checking: This project is centred on the fact checking task on the FEVER dataset, with the aims of determining whether a given statement (claim) conveys a trustworthy information or not, based on the clues contained in a given evidence.

Package requirements

python 3.9
jupyterlab
pytorch
cudatoolkit 10.2
pandas
gensim
torchtext
scikit-learn
matplotlib
seaborn
nltk
unidecode