Lei Zou


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NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question Answering
Minhao Zhang | Ruoyu Zhang | Lei Zou | Yinnian Lin | Sen Hu
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations

We present NAMER, an open-domain Chinese knowledge base question answering system based on a novel node-based framework that better grasps the structural mapping between questions and KB queries by aligning the nodes in a query with their corresponding mentions in question. Equipped with techniques including data augmentation and multitasking, we show that the proposed framework outperforms the previous SoTA on CCKS CKBQA dataset. Moreover, we develop a novel data annotation strategy that facilitates the node-to-mention alignment, a dataset (https://github.com/ridiculouz/CKBQA) with such strategy is also published to promote further research. An online demo of NAMER (http://kbqademo.gstore.cn) is provided to visualize our framework and supply extra information for users, a video illustration (https://youtu.be/yetnVye_hg4) of NAMER is also available.


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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.


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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

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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