Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems

@article{Jin2021PromotionOA,
  title={Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems},
  author={Binbin Jin and Enhong Chen and Hongke Zhao and Zhenya Huang and Qi Liu and Hengshu Zhu and Shui Yu},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems},
  year={2021},
  volume={51},
  pages={3068-3079}
}
  • Binbin Jin, Enhong Chen, +4 authors Shui Yu
  • Published 1 June 2019
  • Computer Science, Mathematics
  • IEEE Transactions on Systems, Man, and Cybernetics: Systems
In the area of community question answering (CQA), answer selection and answer ranking are two tasks which are applied to help users quickly access valuable answers. Existing solutions mainly exploit the syntactic or semantic correlation between a question and its related answers (Q&A), where the multifacet domain effects in CQA are still underexplored. In this paper, we propose a unified model, enhanced attentive recurrent neural network (EARNN), for both answer selection and answer ranking… 
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