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Everything about Automatic summarization
Computer-based method for summarizing a text
Automatic summarization is the process of shortening a set of data computationally, to create a subset that represents the most important or relevant information within the original content. Artificial intelligence (AI) algorithms are commonly developed and employed to achieve this, specialized for different types of data. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Automatic summarizationA 5-minute orientation
- Skim a recent paper: Review of automatic text summarization techniques & methodsInfluential work since 2022
- Pick up a classic book: Computational Linguistics and Intelligent Text ProcessingThe most-reprinted book on the subject
- Read the landmark paper: Automatic text summarization: A comprehensive surveyCited 700 times
- Go sideways: Multi-document summarizationA closely related topic
- Go sideways: Submodular set functionA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Automatic text summarization: A comprehensive survey
Automatic soccer video analysis and summarization
Automatic Summarization
Automatic text structuring and summarization
The challenges of automatic summarization
Automatic Summarization of Bug Reports
Automatic music classification and summarization
A survey automatic text summarization
🆕 Influential since 2022
📚 Books worth reading
Computational Linguistics and Intelligent Text ProcessingAlexander Gelbukh · 2003
Natural Language Processing and Information SystemsElisabeth Métais · 2005
The little SAS bookLora D. Delwiche, Susan J. Slaughter · 1995
Eloquent JavascriptMarijn Haverbeke · 2009
Advances in Multimedia ModelingShipeng Li · 2012- 📕Trends and Applications of Text Summarization TechniquesAlessandro Fiori · 2019
Why programs failAndreas Zeller · 2005
A unified framework for video summarization, browsing, and retrieval with applications to consumer and surveillance videoZiyou Xiong, Regunathan Radhakrishnan · 2005
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Multi-document summarization Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting…
- Submodular set function In mathematics, a submodular set function (also known as a submodular function) is a set function that, informally, describes the relationship between…
- Multimedia information retrieval Multimedia information retrieval (MMIR or MIR) is a research discipline of computer science that aims at extracting semantic information from multimedia…
- Natural language generation Natural language generation (NLG) is a software process that produces natural language output. A widely cited survey of NLG methods describes NLG as "the…
- Information extraction Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents…
- Information retrieval In computing and information science, information retrieval (IR) is the task of identifying and retrieving information system resources that are relevant…
- Natural language processing Natural language processing (NLP) is the processing of natural language information by a computer. NLP is a subfield of computer science and is closely…
- Entity linking In natural language processing, entity linking, also referred to as named-entity disambiguation (NED), named-entity recognition and disambiguation (NERD)…