Match²: A Matching over Matching Model for Similar Question Identification

@article{Wang2020MatchAM,
  title={Match²: A Matching over Matching Model for Similar Question Identification},
  author={Zizhen Wang and Yixing Fan and Jiafeng Guo and Liu Yang and Ruqing Zhang and Yanyan Lan and Xueqi Cheng and Hui Jiang and Xiaozhao Wang},
  journal={Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  year={2020}
}
  • Zizhen WangYixing Fan Xiaozhao Wang
  • Published 21 June 2020
  • Computer Science
  • Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Community Question Answering (CQA) has become a primary means for people to acquire knowledge, where people are free to ask questions or submit answers. To enhance the efficiency of the service, similar question identification becomes a core task in CQA which aims to find a similar question from the archived repository whenever a new question is asked. However, it has long been a challenge to properly measure the similarity between two questions due to the inherent variation of natural language… 
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