mubasharaak
PhD student at King's College London working on NLP/Multimodal ML
London, UK/Vienna, Austria
Pinned Repositories
.github
Overview of contributions
ChartCheck
ChartFC_chartBERT
Data and Code for EACL 2023 Paper "Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking"
chartfc_dataset_wikicommons
A chart fact-checking dataset based on Wiki Commons images
compact_bilinear_pooling
MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added
croissant
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
fc-evidence-evaluation
PubHealthTab
Data and Code for NAACL 2022 Paper "PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking"
Table-Fact-Checking
Data and Code for ICLR2020 Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
mubasharaak's Repositories
mubasharaak/ChartFC_chartBERT
Data and Code for EACL 2023 Paper "Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking"
mubasharaak/ChartCheck
mubasharaak/PubHealthTab
Data and Code for NAACL 2022 Paper "PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking"
mubasharaak/chartfc_dataset_wikicommons
A chart fact-checking dataset based on Wiki Commons images
mubasharaak/compact_bilinear_pooling
MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added
mubasharaak/croissant
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
mubasharaak/fc-evidence-evaluation
mubasharaak/Table-Fact-Checking
Data and Code for ICLR2020 Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"
mubasharaak/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.