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Information retrieval (IR) methods for KGQA consist of two stages: subgraph extraction and answer reasoning.
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Variational Knowledge Graph Reasoning. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) . Association for Computational Linguistics, New Orleans, Louisiana, 1823–1832
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Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Brussels, Belgium, 4231–4242
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The Web as a Knowledge-Base for Answering Complex Questions. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) . Association for Computational Linguistics, New Orleans, Louisiana, 641–651
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LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia. In The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II (Auckland, New Zealand). Springer-Verlag, Berlin, Heidelberg, 69–78
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Billion-Scale Similarity Search with GPUs
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Complex Knowledge Base Question Answering: A Survey
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TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 8108–8121
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RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Dublin, Ireland, 6032–6043
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Haitian Sun, Tania Bedrax-Weiss, and William Cohen. 2019 · 2019
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Dense Passage Retrieval for Open-Domain Question Answering. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Online, 6769–6781
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Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Online, 4498–4507
Apoorv Saxena, Aditay Tripathi, and Partha Talukdar. 2020 · 2020
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Case-based Reasoning for Natural Language Queries over Knowledge Bases. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, 9594–9611
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Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. In Proceedings of the Web Conference 2021 (Ljubljana, Slovenia) (WWW ’21) . Association for Computing Machinery, New York, NY, USA, 3477–3488
Yu Gu, Sue Kase, Michelle Vanni, Brian Sadler, Percy Liang, Xifeng Yan, and Yu Su. 2021 · 2021
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Improving Multi-Hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (Virtual Event, Israel) (WSDM ’21) . Association for Computing Machinery, New York, NY, USA, 553–561
Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, and Ji-Rong Wen. 2021 · 2021
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KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Dublin, Ireland, 6101–6119
Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, and Hanwang Zhang. 2022a · 2022
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Program Transfer for Answering Complex Questions over Knowledge Bases. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Dublin, Ireland, 8128–8140
Shulin Cao, Jiaxin Shi, Zijun Yao, Xin Lv, Jifan Yu, Lei Hou, Juanzi Li, Zhiyuan Liu, and Jinghui Xiao. 2022b · 2022
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Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases. In Proceedings of the 29th International Conference on Computational Linguistics . International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 1687–1696
Xixin Hu, Xuan Wu, Yiheng Shu, and Yuzhong Qu. 2022 · 2022
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Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, and Hong Chen. 2022 · 2022
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Don’t Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Toronto, Canada, 4928–4949
Yu Gu, Xiang Deng, and Yu Su. 2023 · 2023
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UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. In The Eleventh International Conference on Learning Representations
Jinhao Jiang, Kun Zhou, Xin Zhao, and Ji-Rong Wen. 2023 · 2023
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Few-shot In-context Learning on Knowledge Base Question Answering. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Toronto, Canada, 6966–6980
Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, and Wenhu Chen. 2023b · 2023
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Code-Style In-Context Learning for Knowledge-Based Question Answering
Zhijie Nie, Richong Zhang, Zhongyuan Wang, and Xudong Liu. 2023 · 2023
Later among the works it cites.
Keheng Wang, Feiyu Duan, Sirui Wang, Peiguang Li, Yunsen Xian, Chuantao Yin, Wenge Rong, and Zhang Xiong. 2023 · 2023
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DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. In The Eleventh International Conference on Learning Representations
Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, and Bing Xiang. 2023 · 2023
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The Value of Semantic Parse Labeling for Knowledge Base Question Answering. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) . Association for Computational Linguistics, Berlin, Germany, 201–206
Wen-tau Yih, Matthew Richardson, Chris Meek, Ming-Wei Chang, and Jina Suh. 2016 · 2033
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A State-transition Framework to Answer Complex Questions over Knowledge Base. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Brussels, Belgium, 2098–2108
Sen Hu, Lei Zou, and Xinbo Zhang. 2018 · 2098
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