A Linguistic Study on Relevance Modeling in Information Retrieval

@article{Fan2021ALS,
  title={A Linguistic Study on Relevance Modeling in Information Retrieval},
  author={Yixing Fan and Jiafeng Guo and Xinyu Ma and Ruqing Zhang and Yanyan Lan and Xueqi Cheng},
  journal={Proceedings of the Web Conference 2021},
  year={2021}
}
Relevance plays a central role in information retrieval (IR), which has received extensive studies starting from the 20th century. The definition and the modeling of relevance has always been critical challenges in both information science and computer science research areas. Along with the debate and exploration on relevance, IR has already become a core task in many real-world applications, such as Web search engines, question answering systems, conversational bots, and so on. While relevance… 

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