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Utilizing bert for information retrieval: Survey, applications, resources, and challenges
Recent years have witnessed a substantial increase in the use of deep learning to solve
various natural language processing (NLP) problems. Early deep learning models were …
various natural language processing (NLP) problems. Early deep learning models were …
Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions
Fuzzy rough set theory is a powerful tool to deal with uncertainty information, which has
been successfully applied to the fields of attribute reduction, rule extraction, classification …
been successfully applied to the fields of attribute reduction, rule extraction, classification …
Term-weighting approaches in automatic text retrieval
The experimental evidence accumulated over the past 20 years indicates that text indexing
systems based on the assignment of appropriately weighted single terms produce retrieval …
systems based on the assignment of appropriately weighted single terms produce retrieval …
[KIRJA][B] Modern information retrieval
R Baeza-Yates, B Ribeiro-Neto - 1999 - people.ischool.berkeley.edu
Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …