# Jointly Learning Topics in Sentence Embedding for Document Summarization

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/jointly-learning-topics-in-sentence-embedding-for-document-summarization/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yang Gao,Yue Xu,Heyan Huang,Qian Liu,Linjing Wei,Luyang Liu |
| Citations | 32 |
| DOI | 10.1109/tkde.2019.2892430 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://eprints.qut.edu.au/199871/1/accepted_version.pdf |
| OpenAlex ID | https://openalex.org/W2908920565 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Linjing Wei](https://scholariq.org/researchers/linjing-wei/)

## Paper primary topic

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

## Paper topics

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