The occurrence of unknown words in texts significantly hinders reading comprehension. To
improve accessibility for specific target populations, computational modeling has been …

Lay summarisation aims to jointly summarise and simplify a given text, thus making its
content more comprehensible to non-experts. Automatic approaches for lay summarisation …

Nowadays, voluminous unstructured data is steaming on the Web/social media. It is not easy
for individuals to find relevant information quickly from such a vast unstructured corpus. Text …

Automatic text summarization schemes are indeed helpful for glancing briefly at the text
document. With this motivation, we introduce here a two-stage hybrid model for text …

Lexical Simplification (LS) is the task of substituting complex words within a sentence for
simpler alternatives while maintaining the sentence's original meaning. LS is the lexical …

With the development of multimedia technology, events are usually presented in multimedia
forms, thus multimedia event extraction (MEE) has become more and more important …

Meeting summarization has become crucial as the world is gradually shifting towards remote
work. Nowadays, automation of meeting summary generation is really needed in order to …

One of the major problems with text simplification is the lack of high-quality data. The
sources of simplification datasets are limited to Wikipedia and Newsela, restricting further …

Recently, many video streaming services, such as YouTube, Twitch, and Facebook, have
contributed to video streaming traffic, leading to the possibility of streaming unwanted and …