# Aligning Gaussian-Topic with Embedding Network for Summarization Ranking

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/aligning-gaussian-topic-with-embedding-network-for-summarization-ranking/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Linjing Wei,Heyan Huang,Yang Gao,Xiaochi Wei,Chong Feng |
| Citations | 3 |
| DOI | 10.1007/978-3-319-63579-8_46 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2741630331 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

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

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## 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/)

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