Paolo Bezzina's starred repositories
howmanypeoplearearound
Count the number of people around you :family_man_man_boy: by monitoring wifi signals :satellite:
People-Counting-in-Real-Time
People Counting in Real-Time with an IP camera.
deft_corpus
The Definition Extraction From Text corpus and relevant formatting scripts
university_of_malta_LaTeX_dissertation_template
A modern, highly configurable assignment/project/fyp/dissertation/thesis template.
PeopleCounter
Basic People counting code using Python and OpenCV
OffensEval2020
Codes for NLPDove at SemEval 2020 Task 6: OffensEval, COLING 2020
SemEval-2020-Task-6
DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction
DeftEval2020
DeftEval 2020: Definition extraction Challenge
UPB-SemEval-2020-Task-6
This repository contains the source code for the first and the second task of DeftEval 2020 competition, used by the University Politehnica of Bucharest (UPB) team to train and evaluate the models.
SemEval2020-Task6
Subtask1 and Subtask2 solution of SemEval 2020 Task6 https://competitions.codalab.org/competitions/22759
deft_corpus_adobe
This repository contains code for preparing and preprocessing the dataset for SemEval Task 6 -2020 (https://competitions.codalab.org/competitions/22759).
DEFINITION-DETECTION
This is the solution of subtask 1 of DeftEval 2020 which is part of SemEval 2020 official competition (Task 6). Organized by the Adobe Document Cloud Team. DeftEval is split into three subtasks, Subtask 1: Sentence Classification, Given a sentence, classify whether or not it contains a definition. This is the traditional definition extraction task.
DeftEval-2020-SemEval-Task-6
Classifying sentences as either containing a definition or not after training on labeled data-set obtained from SemEval Deft Corpus. Text Processing performed using BoW and Word2Vec Classification using Decision Trees Logistic Regression classifiers.
Deft-Eval-2020
An attempt to solve DeftEval 2020, Task 6 Subtask 1 from SemEval 2020 Competition , which was an NLP problem concerned with extracting definition in free text.