In order to provide benchmark performance for Urdu text document classification, the
contribution of this paper is manifold. First, it provides a publicly available benchmark …

Automatic text summarization is a difficult task, which involves a good understanding of an
input text to produce fluent, brief and vast summary. The usage of text summarization models …

Ulasan film adalah sebuah opini yang bersifat subjektif. Ulasan film memiliki media yang
bera-gam, seperti tulisan, audio, dan video. Ulasan film dapat diolah dengan menggunakan …

A probabilistic data structure may be queried to test whether text of a received log message
is present in the probabilistic data structure. The representative log messages may be …

This paper reports on the further results of the ongoing research analyzing the impact of a
range of commonly used statistical and semantic features in the context of extractive text …

This chapter describes a real, multi-document, multilingual news summarization application,
named NewSum, the research problems behind it, as well as the novel methods proposed …

We suggest a new method for the task of extractive text summarization using graph-based
ranking algorithms. The main idea of this paper is to rank Maximal Frequent Sequences …

Text summarizing is very instrumental in natural language text comprehension systems to
constructing a text summary using more abstract, condensed knowledge structures …

This report describes the MUDOS-NG summarization system, which applies a set of
language-independent and generic methods for generating extractive summaries. The …

This chapter describes the evolution of a real, multi-document, multilingual news
summarization methodology and application, named NewSum, the research problems …