Browse Covid-19 & SARS-CoV-2 Scientific Papers with Transformers 🦠 📖
-
Updated
Jun 22, 2022 - CSS
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).
Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking
Generating brain activation maps from free-form text query
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.
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.
A cost-sensitive BERT that handles the class imbalance for the task of biomedical NER.
Source-code for Dissertation: "Transforming Peer Review: Using state-of-the-art Transformers for AI Assisted Peer Review"
this project to developed a Python
Webserver of text2brain for predicting brain activation maps from free-form text query
Literature indexing using Graph Neural Networks and label-guided text embeddings.
Comparison of binary classification models to predict whether text contains a description of a biological strategy relevant to biomimetic applications or not.
Add a description, image, and links to the scibert topic page so that developers can more easily learn about it.
To associate your repository with the scibert topic, visit your repo's landing page and select "manage topics."