Abstract Evaluation practices in natural language generation (NLG) have many known flaws,
but improved evaluation approaches are rarely widely adopted. This issue has become …

Abstract Evaluation is crucial in the research and development of automatic summarization
applications, in order to determine the appropriateness of a summary based on different …

Extractive text summarization involves selecting and combining key sentences directly from
the original text, rather than generating new content. While various methods, both statistical …

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 …

The primary shortcoming associated with extractive text summarization is redundancy,
where more than one sentence representing a similar type of information are incorporated in …

Automatic text summarization, the computer-based production of condensed versions of
documents, is an important technology for the information society. Without summaries it …

The most widely adopted approaches for evaluation of summary content follow some
protocol for comparing a summary with gold-standard human summaries, which are …

Many applications within natural language processing involve performing text-to-text
transformations, ie, given a text in natural language as input, systems are required to …

The way in which a text is written can be a barrier for many people. Automatic text
simplification is a natural language processing technology that, when mature, could be used …

The increasing volume of textual information on any topic requires its compression to allow
humans to digest it. This implies detecting the most important information and condensing it …