Browse Covid-19 & SARS-CoV-2 Scientific Papers with Transformers 🦠 📖

AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach

Retired repository for Machine Learning utils at the Wellcome Trust (now deprecated).

Generating brain activation maps from free-form text query

Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking

Implementation for EACL 2021 paper "Scientific Discourse Tagging for Evidence Extraction".

Identifying Used Methods and Datasets in Scientific Publications

Code for Findings of EMNLP 2022 short paper "CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model".

Final project for the "Deep Natural Language Processing" course @ PoliTo, 2022/2023

Do authors on arXiv make their code and data available? We're building text mining and machine learning tools to find out!

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.

A specialized NLP pipeline for scientific text processing, implementing both pre-training and fine-tuning of a Mini-SciBERT model. Optimized for Named Entity Recognition (NER) and text classification within technical and academic datasets.

A cost-sensitive BERT that handles the class imbalance for the task of biomedical NER.

A sophisticated hybrid recommendation system for scientific articles that combines ontology-based knowledge graphs, content filtering, collaborative filtering, and user-based approaches to provide personalized research paper recommendations.

The Research Paper Classification project employs a SciBERT-based model to categorize research papers effectively. It encompasses modules for binary classification, conference classification, and pathway inference, utilizing advanced natural language processing techniques to streamline the organization and retrieval of scholarly articles.

The goal of this project is to help people on the front-line fighting COVID-19 find the most relevant research papers to better understand key pain-points and apply these findings into their plans and operations in addressing the pandemic.

Comparison of binary classification models to predict whether text contains a description of a biological strategy relevant to biomimetic applications or not.

claSCIfy is a SciBERT research paper assessment model which helps us to classify the paper as publishable and non-publishable and also helps us to identify the perfect conference for them.

Literature indexing using Graph Neural Networks and label-guided text embeddings.

Source-code for Dissertation: "Transforming Peer Review: Using state-of-the-art Transformers for AI Assisted Peer Review"