With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

Background Application of virtual reality (VR) to rehabilitation is relatively recent with clinical
implementation very rapidly following technological advancement and scientific discovery …

The rapid growth of scientific literature has made it difficult for the researchers to quickly
learn about the developments in their respective fields. Scientific summarization addresses …

Document retrieval has greatly benefited from the advancements of large-scale pre-trained
language models (PLMs). However, their effectiveness is often limited in theme-specific …

In the domain of information retrieval (IR), the matching of query and document relies on
ranking models to calculate the degree of their relevance. Therefore, ranking models remain …

Citation texts are sometimes not very informative or in some cases inaccurate by
themselves; they need the appropriate context from the referenced paper to reflect its exact …

Traditional pseudo relevance feedback (PRF) models choose top k feedback documents for
query expansion and treat those documents equally. When k is determined, feedback terms …

Relevance measures the relation between query and document which contains several
different dimensions, eg, semantic similarity, topical relatedness, cognitive relevance (the …

Standardized approaches to relevance classification in information retrieval use generative
statistical models to identify the presence or absence of certain topics that might make a …

In the growing information retrieval (IR) world, selecting suitable keywords and generating
queries is important for effective retrieval. Modern database applications need a …