In the last few years, a large number of automatic evaluation metrics have been proposed for
evaluating Natural Language Generation (NLG) systems. The rapid development and …

Currently, organizations face the need to create scalable applications in an agile way that
impacts new forms of production and business organization. The traditional monolithic …

Text summarization is an important task in natural language processing and it has been
applied in many applications. Recently, abstractive summarization has attracted many …

Query‐focused multi‐document summarization (Qf‐MDS) is a sub‐task of automatic text
summarization that aims to extract a substitute summary from a document cluster of the …

Text summarization is a task that creates a short version of a document while preserving the
main content. In the age of information explosion, how to obtain the content that users care …

During the recent pandemic, online meetings, voice, and chat-based services have become
extremely popular and the only way to provide remote services. Medical advising is one …

Automatic text summarisation is a topic that has been receiving attention from the research
community from the early days of computational linguistics, but it really took off around 25 …

Opinion mining and summarization of the increasing user-generated content on different
digital platforms (eg, news platforms) are playing significant roles in the success of …

There are many discussions held during political meetings, and a large number of
utterances for various topics is included in their transcripts. We need to read all of them if we …

Many applications require generation of summaries tailored to the user's information needs,
ie, their intent. Methods that express intent via explicit user queries fall short when query …