2020 ACL ACL 2020

Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases

Abstract

AbstractPrevious work on answering complex questions from knowledge bases usually separately addresses two types of complexity: questions with constraints and questions with multiple hops of relations. In this paper, we handle both types of complexity at the same time. Motivated by the observation that early incorporation of constraints into query graphs can more effectively prune the search space, we propose a modified staged query graph generation method with more flexible ways to generate query graphs. Our experiments clearly show that our method achieves the state of the art on three benchmark KBQA datasets.

🌉 Interdisciplinary Bridge — Knowledge & Reasoning and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — query graph generation
🐣 Hot Topic Early Bird — multi-hop question answering
🐝 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