Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval

Author:

Ding Wentao1ORCID,Li Jinmao1ORCID,Luo Liangchuan1ORCID,Qu Yuzhong1ORCID

Affiliation:

1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference38 articles.

1. Junwei Bao, Nan Duan, Zhao Yan, Ming Zhou, and Tiejun Zhao. 2016. Constraint-Based Question Answering with Knowledge Graph. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. The COLING 2016 Organizing Committee, Osaka, Japan, 2503--2514. https://aclanthology.org/C16--1236

2. Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013. Semantic Parsing on Freebase from Question-Answer Pairs. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Seattle, Washington, USA, 1533--1544. https://aclanthology.org/D13--1160

3. Freebase

4. Antoine Bordes Nicolas Usunier Sumit Chopra and Jason Weston. 2015. Large-scale Simple Question Answering with Memory Networks. arxiv: 1506.02075 [cs.LG]

5. Qingqing Cai and Alexander Yates. 2013. Large-scale Semantic Parsing via Schema Matching and Lexicon Extension. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Sofia, Bulgaria, 423--433. https://aclanthology.org/P13--1042

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