The surge in text data has driven extensive research into developing diverse automatic
summarization approaches to effectively handle vast textual information. There are several …

In the age of information overload, the ability to distill essential content from extensive texts
is invaluable. DeepExtract introduces an advanced framework for extractive summarization …

Eyeglasses removal has witnessed substantial progress in recent years, the key to
eyeglasses removal is to accurately detect the eyeglasses and generate visually realistic …

Day by day, the amount of online and offline text data is growing tremendously from various
sources like legal documents, medical documents, news articles, etc. Manual text …

With the exponential growth of video data, video summarization has become a challenging
task. In this article, we propose a deep learning framework for video summarization that …

In today's digital world, there is an enormous and exponential growth in the amount of
knowledge available online. When seeking precise and pertinent information, it is very …

Extractive summarization, a pivotal task in natural language processing, aims to distill
essential content from lengthy documents efficiently. Traditional methods often struggle with …

Question-answering based text summarization can produce personalized and specific
summaries; however, the primary challenge is the generation and selection of questions that …

自动文本摘要(ATS) 是自然语言处理的热门研究方向, 主要实现方法分为抽取式和生成式两类.
抽取式摘要直接采用源文档中的文字内容, 相比生成式摘要具有更高的语法正确性和事实正确性 …

The rapid proliferation of textual data across multiple sectors demands more sophisticated
and efficient techniques for summarizing extensive texts. Focusing on extractive text …