sumarizaci
Sumarizaci is a term used in Czech to denote the process of summarization, i.e., producing a concise and coherent version of a source text or dataset that preserves its essential information and meaning. It is applied in journalism, law, academia, and information technology. There are two principal approaches: extractive summarization, which selects existing sentences or passages; and abstractive summarization, which generates new sentences that paraphrase the content.
Techniques range from rule-based and statistical methods to modern neural models. Early systems used cue words,
Evaluation typically uses automatic metrics such as ROUGE, which compare overlaps with human reference summaries, supplemented
History: summarization concepts date to information retrieval research in the mid-20th century, with significant advances in
Applications include summarizing news articles, legal documents, scientific papers, customer reviews, and digital conversations. Challenges include
See also: extractive summarization, abstractive summarization, natural language processing, ROUGE.