Text summarization is the process of automatically creating a shorter version of one or more
text documents. It is an important way of finding relevant information in large text libraries or …

Large language models (LLMs) have shown promise for automatic summarization but the
reasons behind their successes are poorly understood. By conducting a human evaluation …

It has now been 50 years since the publication of Luhn's seminal paper on automatic
summarization. During these years the practical need for automatic summarization has …

We consider the task of summarizing a cluster of related sentences with a short sentence
which we call multi-sentence compression and present a simple approach based on …

Text summarization is a process of generating a brief version of documents by preserving
the fundamental information of documents as much as possible. Although most of the text …

We present a novel unsupervised sentence fusion method which we apply to a corpus of
biographies in German. Given a group of related sentences, we align their dependency …

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 …

We present a framework for text simplification based on applying transformation rules to a
typed dependency representation produced by the Stanford parser. We test two approaches …

Sentence fusion—the merging of sentences containing similar information—has been
shown to be useful in an abstractive summarization context. We present a new dataset of …

We present an approach to the automatic creation of extractive summaries of literary short
stories. The summaries are produced with a specific objective in mind: to help a reader …