In recent years, the evolution of technology has led to an increase in text data obtained from
many sources. In the biomedical domain, text information has also evidenced this …

Background Comprehensive session summaries enable effective continuity in mental health
counseling, facilitating informed therapy planning. However, manual summarization …

We present M3 (Multi-level dataset for Multi-document summarisation of Medical studies), a
benchmark dataset for evaluating the quality of summarisation systems in the biomedical …

Multi-document summarization entails producing concise synopses of collections of inputs.
For some applications, the synopsis should accurately\emph {synthesize} inputs with respect …

We present a method for generating comparative summaries that highlights similarities and
contradictions in input documents. The key challenge in creating such summaries is the lack …

Multi-document summarization entails producing concise synopses of collections of inputs.
For some applications, the synopsis should accurately synthesize inputs with respect to a …

The advancements in deep learning, particularly the introduction of transformers, have been
pivotal in enhancing various natural language processing (NLP) tasks. These include text-to …

We present a method for generating comparative summaries that highlights similarities and
contradictions in input documents. The key challenge in creating such summaries is the lack …

This thesis focuses on developing summaries that present multiple view-points on issues of
interest. Such capacity is important in many areas like medical studies, where articles may …