Knowledge Graph Question Answering with Ambiguous Query

Author:

Liu Lihui1ORCID,Chen Yuzhong2ORCID,Das Mahashweta2ORCID,Yang Hao2ORCID,Tong Hanghang1ORCID

Affiliation:

1. Department of Computer Science, University of Illinois at Urbana Champaign, USA

2. visa research, USA

Funder

DARPA

Aro

NIFA

NSF (National Science Foundation)

Publisher

ACM

Reference31 articles.

1. A Bordes and Usunier N. 2013. Translating Embeddings for Modeling Multi-relational Data. In Advances in Neural Information Processing Systems 26(NeurIPS ’21). A Bordes and Usunier N. 2013. Translating Embeddings for Modeling Multi-relational Data. In Advances in Neural Information Processing Systems 26(NeurIPS ’21).

2. Wenhu Chen , Wenhan Xiong , Xifeng Yan , and William Yang Wang . [n. d.]. Variational Knowledge Graph Reasoning . In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational. Association for Computational Linguistics. Wenhu Chen, Wenhan Xiong, Xifeng Yan, and William Yang Wang. [n. d.]. Variational Knowledge Graph Reasoning. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational. Association for Computational Linguistics.

3. Xiusi Chen Yu Zhang Jinliang Deng Jyun-Yu Jiang and Wei Wang. [n. d.]. Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. Xiusi Chen Yu Zhang Jinliang Deng Jyun-Yu Jiang and Wei Wang. [n. d.]. Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.

4. Yongrui Chen Huiying Li Guilin Qi Tianxing Wu and Tenggou Wang. 2021. Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph. arXiv. Yongrui Chen Huiying Li Guilin Qi Tianxing Wu and Tenggou Wang. 2021. Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph. arXiv.

5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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1. SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

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