There is a lack of multilingual data to support applications in a large number of languages,
especially for low-resource languages. Knowledge graphs (KG) could contribute to closing …

Text summarization is one of application of natural language processing and is becoming
more popular for information condensation. Text summarization is a process of reducing the …

Initial deployment and subsequent dynamic reconfiguration of a software system is difficult
because of the interplay of many interdependent factors, including cost, time, application …

A wordnet is an important tool for develo** natural language processing applications for a
language. However, most wordnets are handcrafted by experts, which limits their growth. In …

Abstract Information Extraction (IE) and Summarization share the same goal of extracting
and presenting the relevant information of a document. While IE was a primary element of …

Automatic text summarization is a process of reducing the length of original document
without affecting the content by extracting important information from huge amount of text …

This paper presents Semantic SentenceRank (SSR), an unsupervised scheme for
automatically ranking sentences in a single document according to their relative importance …

Nowadays, the internet is the major source of information for millions of people. There are
many search tools available on the net but finding appropriate text information is still difficult …

In this paper, we consider extractive summarization of broadcast news speech and propose
a unified probabilistic generative framework that combines the sentence generative …

The importance of text summarization grows rapidly as the amount of information increases
exponentially. This paper presents a new hybrid summarization technique that combines …