SPaReL: A Semantic Parsing Relation Linking Method for Knowledge Base Question Answering-Reference-Cited by-同舟云学术

SPaReL: A Semantic Parsing Relation Linking Method for Knowledge Base Question Answering

Published:2022-10-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th International Joint Conference on Knowledge Graphs
language:
Short-container-title:

Author:

Dai Xinbang¹^ORCID,Li Huiying¹^ORCID,Wang Tenggou¹^ORCID,Li Lei¹^ORCID,Feng Yuxi¹^ORCID,Li Xin¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Southeast University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3579051.3579055

Reference27 articles.

1. Ramón Fernandez Astudillo , Miguel Ballesteros , Tahira Naseem , Austin Blodgett, and Radu Florian . 2020 . Transition-based parsing with stack-transformers. arXiv preprint arXiv:2010.10669(2020). Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, and Radu Florian. 2020. Transition-based parsing with stack-transformers. arXiv preprint arXiv:2010.10669(2020).

2. One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline

3. Core techniques of question answering systems over knowledge bases: a survey

4. Mohnish Dubey , Debayan Banerjee , Abdelrahman Abdelkawi , and Jens Lehmann . 2019. Lc-quad 2.0 : A large dataset for complex question answering over wikidata and dbpedia . In International semantic web conference . Springer , 69–78. Mohnish Dubey, Debayan Banerjee, Abdelrahman Abdelkawi, and Jens Lehmann. 2019. Lc-quad 2.0: A large dataset for complex question answering over wikidata and dbpedia. In International semantic web conference. Springer, 69–78.

5. EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs