AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
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Updated
Jun 17, 2020 - Python
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
Implementation for EACL 2021 paper "Scientific Discourse Tagging for Evidence Extraction".
Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking
Final project for the "Deep Natural Language Processing" course @ PoliTo, 2022/2023
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.
this project to developed a Python
Webserver of text2brain for predicting brain activation maps from free-form text query
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