Browse Covid-19 & SARS-CoV-2 Scientific Papers with Transformers 🦠 📖
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AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
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Retired repository for Machine Learning utils at the Wellcome Trust (now deprecated).
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Generating brain activation maps from free-form text query
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Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking
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Implementation for EACL 2021 paper "Scientific Discourse Tagging for Evidence Extraction".
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Identifying Used Methods and Datasets in Scientific Publications
entity knowledge-graph named-entity-recognition classification papers scientometrics bibliometrics scibert scholarly-data
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Code for Findings of EMNLP 2022 short paper "CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model".
python machine-learning natural-language-processing jupyter-notebook bart bert roberta pre-trained-language-models scibert cloze-questions distractor-generation festtext
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Final project for the "Deep Natural Language Processing" course @ PoliTo, 2022/2023
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Do authors on arXiv make their code and data available? We're building text mining and machine learning tools to find out!
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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.
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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.
nlp pytorch transformer bert fine-tuning pre-training name-entity-recognition scibert bert-fine-tuning huggingface-transformers
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A cost-sensitive BERT that handles the class imbalance for the task of biomedical NER.
pubmed ner bias bionlp bias-correction biomedical-applications cost-sensitive-learning biobert scibert bioner
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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.
neo4j ontology knowledge-graph recommendation-system ontologies scientific-articles web-semantics scibert openalex
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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.
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Comparison of binary classification models to predict whether text contains a description of a biological strategy relevant to biomimetic applications or not.
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SciBERT-based scientific abstract classification using SetFit framework with context injection data augmentation
nlp machine-learning text-classification cross-validation transformers pytorch scientific-computing few-shot-learning scibert contrastive-learning hugginface setfit
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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.
natural-language-processing neural-network pytorch bert-model scibert mistral-7b-instruct research-paper-analysis
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