# Knowledge representation learning with entity descriptions, hierarchical types, and textual relations

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/knowledge-representation-learning-with-entity-descriptions-hierarchical-types/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xing Tang,Ling Chen,Jun Cui,Baogang Wei |
| Citations | 66 |
| DOI | 10.1016/j.ipm.2019.01.005 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2913866716 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Xing Tang](https://scholariq.org/researchers/xing-tang/)

## Paper journal

- [Information Processing & Management](https://scholariq.org/journals/information-processing-and-management/)

## Paper primary topic

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

## Paper topics

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)

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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.