# Generative Adversarial Network for Abstractive Text Summarization

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/generative-adversarial-network-for-abstractive-text-summarization/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Linqing Liu,Yao Lu,Min Yang,Qiang Qu,Jia Zhu,Hongyan Li |
| Citations | 32 |
| DOI | 10.48550/arxiv.1711.09357 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1711.09357 |
| OpenAlex ID | https://openalex.org/W2768163236 |
| Type | preprint |
| Year | 2017 |

## Paper authors

- [Hongyan Li](https://scholariq.org/researchers/hongyan-li/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

## Paper topics

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.