Natural Language Processing Question Answering in SQuAD and BioASQ - Final Project
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Updated
Nov 16, 2021 - Python
Natural Language Processing Question Answering in SQuAD and BioASQ - Final Project
lasigeBioTM: A Lean Biomedical QA System Empowered by Structured Knowledge
BioASQ Challenge A ships a massive JSON file mapping biomedical articles to MeSH (Medical Subject Headings) annotations. This tool parses that file and produces a pair of CSV files that model the data as a Knowledge Graph (Neo4J)
Classification of Biomedical Questions from the BioASQ Challenge - Task 6b, adding co-training with Quora questions
Topic+QA pipeLine
✔️🩺 Combining Evidence and Reasoning for Biomedical Fact-Checking
🩺🔍 Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification
Modular biomedical question answering pipeline with synthetic snippets and multi-task answer generation (BioASQ 2025 – UniTor @ CLEF)
Deep Learning architectures for the fascinating task of sentence selection for QA systems.
Ad-hoc Ranking with BERT (includes K-NRM) for Biomedical Question Answering
Sequence Tagging for Biomedical Extractive Question Answering (Bioinformatics'2020)
LIQUID: A Framework for List Question Anwering Dataset Generation (AAAI 2023)
VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)
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