Corpus ID: 199577794

Towards Optimisation of Collaborative Question Answering over Knowledge Graphs

@article{Singh2019TowardsOO,
  title={Towards Optimisation of Collaborative Question Answering over Knowledge Graphs},
  author={Kuldeep Singh and M. Y. Jaradeh and Saeedeh Shekarpour and Akash Kulkarni and Arun Sethupat Radhakrishna and Ioanna Lytra and Maria-Esther Vidal and J. Lehmann},
  journal={ArXiv},
  year={2019},
  volume={abs/1908.05098}
}
  • Kuldeep Singh, M. Y. Jaradeh, +5 authors J. Lehmann
  • Published 2019
  • Computer Science
  • ArXiv
  • Collaborative Question Answering (CQA) frameworks for knowledge graphs aim at integrating existing question answering (QA) components for implementing sequences of QA tasks (i.e. QA pipelines). The research community has paid substantial attention to CQAs since they support reusability and scalability of the available components in addition to the flexibility of pipelines. CQA frameworks attempt to build such pipelines automatically by solving two optimisation problems: 1) local collective… CONTINUE READING

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