2021
AAAI
AAAI 2021
KAAPA: Knowledge Aware Answers from PDF Analysis
Abstract
Abstract We 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.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Knowledge & Reasoning and Machine Learning and Natural Language Processing
🧭
Keyword Pioneer
— table extraction
🐣
Hot Topic Early Bird
— document analysis
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > Multimodal Learning
Machine Learning > Application Areas > Domain Adaptation
Natural Language Processing > Applications > Machine Reading Comprehension
Natural Language Processing > Applications > Question Answering
Knowledge & Reasoning > Representation > Knowledge Graphs