ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2018, Vol. 55 ›› Issue (9): 1987-1999.doi: 10.7544/issn1000-1239.2018.20180133

Special Issue: 2018优青专题

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Exploration on Neural Information Retrieval Framework

Guo Jiafeng, Fan Yixing   

  1. (CAS Key Laboratory of Network Data Science & Technology(Institute of Computing Technology, Chinese Academy of Sciences), Beijing 100190) (Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190)
  • Online:2018-09-01

Abstract: After decades of research, information retrieval technology has been significantly advanced and widely applied in our daily life. However, there is still a huge gap between modern search engines and true intelligent information accessing systems. In our opinion, an intelligent information accessing system should be able to crawl, read and understand the content of the big Web data, index and search the key semantic information, and reason, decide and generate the right results based on users’ information need. To develop such kind of systems, we need theoretical breakthrough on the search architecture and models. In recent years, to address the intelligent information accessing problem, we have conducted systematical research on neural information retrieval framework. We have achieved a few of original contributions on text representation, data indexing and relevance matching. However, there is still a long way in this direction and we will continue our exploration on neural information retrieval in the future.

Key words: information retrieval, deep learning, data representation, relevance matching, data indexing

CLC Number: