# Improving Multi-Document Summarization via Text Classification

arXiv: https://arxiv.org/abs/1611.09238 · HTML: https://mlsanity.com/paper/1611.09238/

## Key facts

- Cited by 14 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Nov 2016.

## Built on by (most cited first, 14 of 14)

- [Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting](https://mlsanity.com/paper/2107.05192/) (2021)
- [Abstractive Text Summarization: State of the Art, Challenges, and Improvements](https://mlsanity.com/paper/2409.02413/) (2024)
- [Read Top News First: A Document Reordering Approach for Multi-Document News Summarization](https://mlsanity.com/paper/2203.10254/) (2022)
- [XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags](https://mlsanity.com/paper/2406.03776/) (2024)
- [SgSum: Transforming Multi-document Summarization into Sub-graph Selection](https://mlsanity.com/paper/2110.12645/) (2021)
- [Curse of High Dimensionality Issue in Transformer for Long-context Modeling](https://mlsanity.com/paper/2505.22107/) (2025)
- [DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization](https://mlsanity.com/paper/2410.15687/) (2024)
- [Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization](https://mlsanity.com/paper/2306.04787/) (2023)
- [Improving Online Forums Summarization via Hierarchical Unified Deep Neural Network](https://mlsanity.com/paper/2103.13587/) (2021)
- [PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies](https://mlsanity.com/paper/2105.08244/) (2021)
- [Machine and Deep Learning Methods with Manual and Automatic Labelling for News Classification in Bangla Language](https://mlsanity.com/paper/2210.10903/) (2022)
- [MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification](https://mlsanity.com/paper/2306.08892/) (2023)
- [Using Natural Language Processing and Networks to Automate Structured Literature Reviews: An Application to Farmers Climate Change Adaptation](https://mlsanity.com/paper/2306.09737/) (2023)
- [Vietnamese multi-document summary using subgraph selection approach -- VLSP 2022 AbMuSu Shared Task](https://mlsanity.com/paper/2306.14827/) (2023)

## Abstract (arXiv)

Developed so far, multi-document summarization has reached its bottleneck due to the lack of sufficient training data and diverse categories of documents. Text classification just makes up for these deficiencies. In this paper, we propose a novel summarization system called TCSum, which leverages plentiful text classification data to improve the performance of multi-document summarization. TCSum projects documents onto distributed representations which act as a bridge between text classification and summarization. It also utilizes the classification results to produce summaries of different styles. Extensive experiments on DUC generic multi-document summarization datasets show that, TCSum can achieve the state-of-the-art performance without using any hand-crafted features and has the capability to catch the variations of summary styles with respect to different text categories.