This paper contains a large literature review in the research field of Text Summarisation (TS)
based on Human Language Technologies (HLT). TS helps users manage the vast amount …

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 …

In recent years, an enormous amount of text data from diversified sources has been
emerged day-by-day. This huge amount of data carries essential information and knowledge …

Text is a very important type of data within the biomedical domain. For example, patient
records contain large amounts of text which has been entered in a non-standardized format …

High quality summary is the target and challenge for any automatic text summarization. In
this paper, we introduce a different hybrid model for automatic text summarization problem …

Nowadays, as the users of the internet are increasingly ensnared by information overload,
the significance of automatic text summarization becomes more and more evident. Thus far …

Unstructured data such as text is an important data type in medical, biomedical, and health
domains. The majority of patient records are in non-standard text format which is both a …

Nowadays discourse parsing is a very prominent research topic. However, there is not a
discourse parser for Spanish texts. The first stage in order to develop this tool is discourse …

This paper describes Artex, another algorithm for Automatic Text Summarization. In order to
rank sentences, a simple inner product is calculated between each sentence, a document …

Human Language Technologies (HLT) cover a broad range of activities with the final goal of
enabling people to communicate with machines by using natural communication skills …