# Text Summarization Techniques: A Brief Survey

arXiv: https://arxiv.org/abs/1707.02268 · HTML: https://mlsanity.com/paper/1707.02268/

## Key facts

- Cited by 59 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Jul 2017.

## Built on by (most cited first, 30 of 59)

- [Multimodal Foundation Models: From Specialists to General-Purpose Assistants](https://mlsanity.com/paper/2309.10020/) (2023)
- [Neural Approaches to Conversational Information Retrieval](https://mlsanity.com/paper/2201.05176/) (2022)
- [Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization](https://mlsanity.com/paper/2208.09770/) (2022)
- [Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods](https://mlsanity.com/paper/2203.05227/) (2022)
- [It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance](https://mlsanity.com/paper/2305.09022/) (2023)
- [IC3: Image Captioning by Committee Consensus](https://mlsanity.com/paper/2302.01328/) (2023)
- [Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience](https://mlsanity.com/paper/2302.10395/) (2023)
- [Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey](https://mlsanity.com/paper/2311.09212/) (2023)
- [Attention-based Clinical Note Summarization](https://mlsanity.com/paper/2104.08942/) (2021)
- [A Comparative Study of Quality Evaluation Methods for Text Summarization](https://mlsanity.com/paper/2407.00747/) (2024)
- [A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis](https://mlsanity.com/paper/2301.08826/) (2023)
- [Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap system](https://mlsanity.com/paper/2307.15793/) (2023)
- [Automated News Summarization Using Transformers](https://mlsanity.com/paper/2108.01064/) (2021)
- [Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications](https://mlsanity.com/paper/2409.18454/) (2024)
- [Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization](https://mlsanity.com/paper/2101.12406/) (2021)
- [Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning](https://mlsanity.com/paper/2104.03337/) (2021)
- [Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook](https://mlsanity.com/paper/2206.07304/) (2022)
- [PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream](https://mlsanity.com/paper/2302.05550/) (2023)
- [Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization](https://mlsanity.com/paper/2108.13741/) (2021)
- [textttCOSMIC: Mutual Information for Task-Agnostic Summarization Evaluation](https://mlsanity.com/paper/2402.19457/) (2024)
- [Lotus: Creating Short Videos From Long Videos With Abstractive and Extractive Summarization](https://mlsanity.com/paper/2502.07096/) (2025)
- [Performance Evaluation of Large Language Models in Bangla Consumer Health Query Summarization](https://mlsanity.com/paper/2505.05070/) (2025)
- [Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration](https://mlsanity.com/paper/2305.15262/) (2023)
- [Unsupervised Extractive Summarization of Emotion Triggers](https://mlsanity.com/paper/2306.01444/) (2023)
- [Challenges in Domain-Specific Abstractive Summarization and How to Overcome them](https://mlsanity.com/paper/2307.00963/) (2023)
- [Summaformers @ LaySumm 20, LongSumm 20](https://mlsanity.com/paper/2101.03553/) (2021)
- [A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding](https://mlsanity.com/paper/2301.03403/) (2023)
- [Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation](https://mlsanity.com/paper/2306.13460/) (2023)
- [AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference](https://mlsanity.com/paper/2410.00409/) (2024)
- [The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models](https://mlsanity.com/paper/2412.06646/) (2024)

## 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.