This repository contains the first assignment part of the Natural Language Processing course of the Master's degree in Artificial Intelligence, University of Bologna.
The main objective of such assignment is to solve a Part-of-Speech (POS) tagging as Sequence Labelling task on a dependency treebank dataset using pre-trained Glove embeddings.
We provided four different models and their implementation to test if any architecture is better than the other. For more details on the pipeline followed please read the report present in the report pos_tagging_sequence_labelling.pdf.
Frameworks:
Platforms
The environment could be loaded by using conda by launching the command:
$ conda create --name <env> --file requirements.txtWe used Git for versioning.
This project is licensed under the MIT License - see the LICENSE file for details.