Transformer-based large language models are making significant strides in various fields,
such as natural language processing,,,–, biology,, chemistry,–and computer programming …

Recent advances in pre-trained language models (PLMs) have facilitated the development
ofcommonsense reasoning tasks. However, existing methods rely on multi-hop …

Abstract Knowledge management for construction accident cases can identify dangerous
conditions and prevent accidents by controlling risks on-site. However, because accident …

Case-based reasoning (CBR) is an important approach in construction project risk
management. It emphasises that previous knowledge and experience of accidents and risks …

Pseudo-relevance feedback is an effective technique for improving retrieval results.
Traditional feedback algorithms use a whole feedback document as a unit to extract words …

This paper describes our submission for FIRE 2014 Shared Task on Transliterated Search.
The shared task features two sub-tasks: Query word labeling and Mixed-script Ad hoc …

Rocchio's relevance feedback model is a classic query expansion method and it has been
shown to be effective in boosting information retrieval performance. The selection of …

Recently, social network has been paid more and more attention by people. Inaccurate
community detection in social network can provide better product designs, accurate …

Query expansion is the process of adding additional relevant terms to the original queries to
improve the performance of information retrieval systems. However, previous studies …

In the medical image retrieval literature, there are two main approaches: content-based
retrieval using the visual information contained in the image itself and context-based …