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 …

Textual information in the form of digital documents quickly accumulates to create huge
amounts of data. The majority of these documents are unstructured: it is unrestricted text and …

With the tremendous growth in the number of electronic documents, it is becoming
challenging to manage the volume of information. Much research has focused on …

Document summarization provides an instrument for faster understanding the collection of
text documents and has a number of real life applications. Semantic similarity and clustering …

Featured Application A graph-based technique tested on a benchmark dataset and
augmented by machine learning techniques to provide a concise, informative, and …

We propose an event-driven model for headline generation. Given an input document, the
system identifies a key event chain by extracting a set of structural events that describe them …

In this modern age, the internet is a powerful source of information. Roughly, one-third of the
world population spends a significant amount of their time and money on surfing the internet …

Multi-Sentence Compression (MSC) aims to generate a short sentence with key information
from a cluster of closely related sentences. MSC enables summarization and question …

As more information becomes accessible online, users are faced with difficulties in digesting
and selecting important information from longer text. A summary can serve as a condensed …

This paper focuses on understanding the discovered human sentence compression patterns
from the developed Malay summary corpus to produce a more compact and informative …