Recent Progress on Text Summarization
Suad Alhojely, Jugal Kalita
Abstract
Text summarization produces a summary of a document by highlighting its most important content ideas. Researchers have been developing text summarization techniques since the 1950s. Most summarization deals with summaries of single documents, but recent summarization efforts have also produced summaries from clusters of documents. This paper reviews recent approaches in three categories: Extractive, Abstractive, and Hybrid text summarization along with specific methods within each category. Most authors focus on the Extractive approach, but the generated summaries are very different from human summaries regardless of techniques used.
Topics & Concepts
Automatic summarizationComputer scienceMulti-document summarizationFocus (optics)Information retrievalText graphNatural language processingOpticsPhysicsTopic ModelingNatural Language Processing TechniquesAdvanced Text Analysis Techniques