KAAPA: Knowledge Aware Answers from PDF Analysis
Keywords:Question Answering, Table QA, Machine Reading Comprehension
AbstractWe present KaaPa (Knowledge Aware Answers from Pdf Analysis), an integrated solution for machine reading comprehension over both text and tables extracted from PDFs. KaaPa enables interactive question refinement using facets generated from an automatically induced Knowledge Graph. In addition it provides a concise summary of the supporting evidence for the provided answers by aggregating information across multiple sources. KaaPa can be applied consistently to any collection of documents in English with zero domain adaptation effort. We showcase the use of KaaPa for QA on scientific literature using the COVID-19 Open Research Dataset.
How to Cite
Fauceglia, N., Canim, M., Gliozzo, A., Liang, J. J., Wang, N. X. R., Burdick, D., Mihindukulasooriya, N., Castelli, V., Feigenblat, G., Konopnicki, D., Katsis, Y., Florian, R., Li, Y., Roukos, S., & Sil, A. (2021). KAAPA: Knowledge Aware Answers from PDF Analysis. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 16029-16031. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/18002
AAAI Demonstration Track