MatViX: Multimodal Information Extraction from Visually Rich Articles

• Published in: arXiv.org
• Main Authors: Ghazal Khalighinejad, Scott, Sharon, Liu, Ollie, Anderson, Kelly L, Rickard Stureborg, Tyagi, Aman, Dhingra, Bhuwan
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 27.10.2024
• Subjects: Benchmarks; Information retrieval; Materials science; Performance evaluation

Multimodal information extraction (MIE) is crucial for scientific literature, where valuable data is often spread across text, figures, and tables. In materials science, extracting structured information from research articles can accelerate the discovery of new materials. However, the multimodal na...