Lei Zou


2018

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A State-transition Framework to Answer Complex Questions over Knowledge Base
Sen Hu | Lei Zou | Xinbo Zhang
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Although natural language question answering over knowledge graphs have been studied in the literature, existing methods have some limitations in answering complex questions. To address that, in this paper, we propose a State Transition-based approach to translate a complex natural language question N to a semantic query graph (SQG), which is used to match the underlying knowledge graph to find the answers to question N. In order to generate SQG, we propose four primitive operations (expand, fold, connect and merge) and a learning-based state transition approach. Extensive experiments on several benchmarks (such as QALD, WebQuestions and ComplexQuestions) with two knowledge bases (DBpedia and Freebase) confirm the superiority of our approach compared with state-of-the-arts.

2012

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Towards Automatic Construction of Knowledge Bases from Chinese Online Resources
Liwei Chen | Yansong Feng | Yidong Chen | Lei Zou | Dongyan Zhao
Proceedings of ACL 2012 Student Research Workshop

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Explore Person Specific Evidence in Web Person Name Disambiguation
Liwei Chen | Yansong Feng | Lei Zou | Dongyan Zhao
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning