Neural retrieval models (NRMs) have been shown to outperform their
stati...
Due to the massive size of test collections, a standard practice in IR
e...
Despite the retrieval effectiveness of queries being mutually independen...
Motivated by the recent success of end-to-end deep neural models for ran...
A query performance predictor estimates the retrieval effectiveness of a...
In this paper, we propose a general framework for mitigating the dispari...
Tasks, Datasets and Evaluation Metrics are important concepts for
unders...
An active learning (AL) algorithm seeks to construct an effective classi...
An automated contextual suggestion algorithm is likely to recommend
cont...
Human society had a long history of suffering from cognitive biases lead...
Epidemics, such as the present Covid-19 pandemic, usually spread at a ra...
While the fast-paced inception of novel tasks and new datasets helps fos...
Population age information is an essential characteristic of clinical tr...