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Question Answering Over Temporal Knowledge Graphs

Saxena, Apoorv, Chakrabarti, Soumen, Talukdar, Partha·2021·Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

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  2. Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008. Freebase: A collab- oratively created graph database for structuring hu- man knowledge. In Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, SIGMOD '08, page 1247-1250, New York, NY, USA. Association for Computing Machinery. · DOI · Paper page
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  5. Shib Sankar Dasgupta, Swayambhu Nath Ray, and Partha Talukdar. 2018. HyTE: Hyperplane-based temporally aware knowledge graph embedding. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 2001-2011, Brussels, Belgium. Association for Computational Linguistics. · DOI · Paper page
  6. Thibault Févry, Livio Baldini Soares, Nicholas FitzGer- ald, Eunsol Choi, and Tom Kwiatkowski. 2020. En- tities as experts: Sparse memory access with entity supervision. arXiv preprint arXiv:2004.07202. · arXiv
  7. Alberto García-Durán, Sebastijan Dumančić, and Mathias Niepert. 2018. Learning sequence encoders for temporal knowledge graph completion. In Pro- ceedings of the 2018 Conference on Empirical Meth- ods in Natural Language Processing, pages 4816- 4821, Brussels, Belgium. Association for Computa- tional Linguistics. · DOI · Paper page
  8. J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, and Benjamin Van Durme. 2019. Improved lexically constrained decoding for translation and monolingual rewriting. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computa- tional Linguistics: Human Language Technologies, Volume 1 (Long Papers), Minneapolis, Minnesota. Association for Computational Linguistics.
  9. Prachi Jain, Sushant Rathi, Mausam, and Soumen Chakrabarti. 2020. Temporal Knowledge Base Com- pletion: New Algorithms and Evaluation Protocols. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 3733-3747, Online. Association for Computa- tional Linguistics. · DOI
  10. Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jan- nik Strötgen, and Gerhard Weikum. 2018a. Tem- pquestions: A benchmark for temporal question an- swering. In Companion Proceedings of the The Web Conference 2018, WWW '18, page 1057-1062, Re- public and Canton of Geneva, CHE. International World Wide Web Conferences Steering Committee. · DOI
  11. Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jan- nik Strötgen, and Gerhard Weikum. 2018b. Tequila. Proceedings of the 27th ACM International Confer- ence on Information and Knowledge Management. · DOI
  12. Timothée Lacroix, Guillaume Obozinski, and Nico- las Usunier. 2020. Tensor decompositions for tem- poral knowledge base completion. arXiv preprint arXiv:2004.04926. · arXiv
  13. Timothée Lacroix, Nicolas Usunier, and Guillaume Obozinski. 2018. Canonical tensor decomposition for knowledge base completion. arXiv preprint arXiv:1806.07297. · arXiv
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  17. Daniel Ruffinelli, Samuel Broscheit, and Rainer Gemulla. 2020. You can teach an old dog new tricks! on training knowledge graph embeddings. In International Conference on Learning Represen- tations.
  18. Apoorv Saxena, Aditay Tripathi, and Partha Taluk- dar. 2020. Improving multi-hop question answering over knowledge graphs using knowledge base em- beddings. In Proceedings of the 58th Annual Meet- ing of the Association for Computational Linguistics, pages 4498-4507, Online. Association for Computa- tional Linguistics. · DOI
  19. Partha Pratim Talukdar, Derry Wijaya, and Tom Mitchell. 2012. Coupled temporal scoping of rela- tional facts. In Proceedings of WSDM 2012.
  20. Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, and Partha Talukdar. 2020. In- teracte: Improving convolution-based knowledge graph embeddings by increasing feature interactions. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 34 (03), pages 3009-3016.
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Metadata

Authors
Saxena, A., Chakrabarti, S., & Talukdar, P.
Venue
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Published
2021
Pages
6663-6676
Cited by
91
References
11

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