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Text Summarization Techniques: A Brief Survey

arXiv 1707.02268 ↗First posted 7 Jul 2017cs.CLcited by 59

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Abstract (arXiv)

In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be useful. In this review, the main approaches to automatic text summarization are described. We review the different processes for summarization and describe the effectiveness and shortcomings of the different methods.

Key facts. Cited by 59 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jul 2017.

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Citing papers per year: 2021: 14; 2022: 10; 2023: 18; 2024: 10; 2025: 6; 2026: 1.

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  1. 2023Multimodal Foundation Models: From Specialists to General-Purpose Assistantscited by 247
  2. 2022Neural Approaches to Conversational Information Retrievalcited by 41
  3. 2022Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarizationcited by 29
  4. 2022Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methodscited by 27
  5. 2023It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performancecited by 25
  6. 2023IC3: Image Captioning by Committee Consensuscited by 20
  7. 2023Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experiencecited by 18
  8. 2023Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Surveycited by 18
  9. 2021Attention-based Clinical Note Summarizationcited by 16
  10. 2024A Comparative Study of Quality Evaluation Methods for Text Summarizationcited by 13
  11. 2023A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysiscited by 12
  12. 2023Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap systemcited by 12
38 more
  1. 2021Automated News Summarization Using Transformerscited by 11
  2. 2024Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applicationscited by 10
  3. 2021Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarizationcited by 8
  4. 2021Automatic Generation of Descriptive Titles for Video Clips Using Deep Learningcited by 7
  5. 2022Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlookcited by 7
  6. 2023PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Streamcited by 7
  7. 2021Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarizationcited by 6
  8. 2024textttCOSMIC: Mutual Information for Task-Agnostic Summarization Evaluationcited by 6
  9. 2025Lotus: Creating Short Videos From Long Videos With Abstractive and Extractive Summarizationcited by 6
  10. 2025Performance Evaluation of Large Language Models in Bangla Consumer Health Query Summarizationcited by 6
  11. 2023Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deteriorationcited by 5
  12. 2023Unsupervised Extractive Summarization of Emotion Triggerscited by 5
  13. 2023Challenges in Domain-Specific Abstractive Summarization and How to Overcome themcited by 5
  14. 2021Summaformers @ LaySumm 20, LongSumm 20cited by 4
  15. 2023A comprehensive review of automatic text summarization techniques: method, data, evaluation and codingcited by 4
  16. 2023Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimationcited by 4
  17. 2024AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preferencecited by 4
  18. 2024The Narrow Gate: Localized Image-Text Communication in Native Multimodal Modelscited by 4
  19. 2025Utilizing Modern Large Language Models (LLM) for Financial Trend Analysis and Digest Creationcited by 4
  20. 2021Improving Factual Consistency of Abstractive Summarization on Customer Feedbackcited by 3
  21. 2022Meeting Summarization: A Survey of the State of the Artcited by 3
  22. 2024Utilizing GPT to Enhance Text Summarization: A Strategy to Minimize Hallucinationscited by 3
  23. 2021Extractive Summarization of Call Transcriptscited by 2
  24. 2021Generating abstractive summaries of Lithuanian news articles using a transformer modelcited by 2
  25. 2021DiscASP: A Graph-based ASP System for Finding Relevant Consistent Concepts with Applications to Conversational Socialbotscited by 2
  26. 2022CLSE: Corpus of Linguistically Significant Entitiescited by 2
  27. 2023Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Reviewcited by 2
  28. 2024FarSSiBERT: A Novel Transformer-based Model for Semantic Similarity Measurement of Persian Social Networks Informal Textscited by 2
  29. 2021Text Summarization of Czech News Articles Using Named Entitiescited by 1
  30. 2024Generating Attractive and Authentic Copywriting from Customer Reviewscited by 1
  31. 2021Graph Neural Networks for Natural Language Processing: A Surveycited by 0
  32. 2021Understanding Information Spreading Mechanisms During COVID-19 Pandemic by Analyzing the Impact of Tweet Text and User Features for Retweet Predictioncited by 0
  33. 2021OptAGAN: Entropy-based finetuning on text VAE-GANcited by 0
  34. 2022Predicting Intervention Approval in Clinical Trials through Multi-Document Summarizationcited by 0
  35. 2022Domain Specific Fine-tuning of Denoising Sequence-to-Sequence Models for Natural Language Summarizationcited by 0
  36. 2022Comparing Methods for Extractive Summarization of Call Centre Dialoguecited by 0
  37. 2022Document-Level Abstractive Summarizationcited by 0
  38. 2023San-BERT: Extractive Summarization for Sanskrit Documents using BERT and it's variantscited by 0

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