Automatic text summarization tools help users in the biomedical domain to acquire their
intended information from various textual resources more efficiently. Some of biomedical text …

Text Summarization is the procedure by which the significant portions of a text are retrieved.
Most of the approaches perform the summarization based on some hand tagged rules, such …

Automatic text summarization is an essential tool in this era of information overloading. In
this paper we present an automatic extractive Arabic text summarization system where the …

In this paper, we propose an unsupervised method for summarizing Farsi texts based on our
neural named entity recognition (NER) system. This method consists of three phases …

Named Entities are often seen as important cues to the topic of a text. Theyare among the
most information dense tokens of the text and largely definethe domain of the text. Therefore …

Lexical chaining is a technique for identifying semantically-related terms in text. We propose
concept chaining to link semantically-related concepts within biomedical text together. The …

Today, with digitally stored information available in abundance, even for many minor
languages, this information must by some means be filtered and extracted in order to avoid …

Text summarization is a data reduction process. The use of text summarization enables
users to reduce the amount of text that must be read while still assimilating the core …

Summaries are an important tool for familiarizing oneself with a subject area. Text
summaries are essential when forming an opinion on if reading a document in whole is …

FarsiSum is an attempt to create an automatic text summarization system for Persian. The
system is implemented as a HTTP client/server application written in Perl. It uses modules …