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Conversational Question Answering on Heterogeneous Sources
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“Convinse [287] retrieves information from knowledge bases, tables, and texts after question understanding.”
From Retrieval-Augmented Generation for AI-Generated Content: A Survey (2024) · cites this paper as [287]
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Reading Wikipedia to answer open-domain questions
Chen, D., Fisch, A., Weston, J., & Bordes, A. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p17-1171 · Cited by 1,546
QuAC: Question Answering in Context
Choi, E., He, H., Iyyer, M., Yatskar, M., Yih, W.-T., Choi, Y., Liang, P., & Zettlemoyer, L. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d18-1241 · Cited by 714 · cited 4×
“Notable efforts at ConvQA benchmarking like QuAC [6] (text), CoQA [37] (text), SQA [14] (tables), ConvQuestions [8] (KB), and CSQA [41] (KB) assume a single answering source.”
BackgroundInfluentialManyModalQA: Modality Disambiguation and QA over Diverse Inputs
Hannan, D., Jain, A., & Bansal, M. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i05.6294 · Cited by 37
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Cited by
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Zhao, P., Zhang, H., Yu, Q., Wang, Z., Geng, Y., Fu, F., Yang, L., Zhang, W., Jiang, J., & Cui, B. (2024) · arXiv · doi:10.48550/arxiv.2402.19473 · Cited by 240
Completeness, Recall, and Negation in Open-world Knowledge Bases: A Survey
Razniewski, S., Arnaout, H., Ghosh, S., & Suchanek, F. (2024) · ACM Computing Surveys · doi:10.1145/3639563 · Cited by 8
Metadata
- Authors
- Christmann, P., Saha Roy, R., & Weikum, G.
- Affiliations
- Max Planck Institute for Informatics, Saarbrücken, Germany
- Venue
- Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
- Publisher
- ACM
- Published
- 2022-07-06
- Pages
- 144-154
- Cited by
- 22
- References
- 3
- Funders
- ERC Synergy Grant imPACT (610150)
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