Multi-document summarization (MDS) is an effective tool for information aggregation that
generates an informative and concise summary from a cluster of topic-related documents …

In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

Inspired by how humans summarize long documents, we propose an accurate and fast
summarization model that first selects salient sentences and then rewrites them abstractively …

In this paper, we develop a neural summarization model which can effectively process
multiple input documents and distill Transformer architecture with the ability to encode …

As information is available in abundance for every topic on internet, condensing the
important information in the form of summary would benefit a number of users. Hence, there …

Abstract Abstractive Text Summarization (ATS), which is the task of constructing summary
sentences by merging facts from different source sentences and condensing them into a …

Recently, some E-commerce sites launch a new interaction box called Tips on their mobile
apps. Users can express their experience and feelings or provide suggestions using short …

Automatic text summarization is widely regarded as the highly difficult problem, partially
because of the lack of large text summarization data set. Due to the great challenge of …

We propose a new framework for abstractive text summarization based on a sequence-to-
sequence oriented encoder-decoder model equipped with a deep recurrent generative …

With the rapid development and popularization of Internet and mobile communication
technologies, text data mining has attracted much attention. In particular, with the wide use …