# LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/luke-deep-contextualized-entity-representations-with-entity-aware-self-attention/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ikuya Yamada,Akari Asai,Hiroyuki Shindo,Hideaki Takeda,Yūji Matsumoto |
| Citations | 571 |
| DOI | 10.18653/v1/2020.emnlp-main.523 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.aclweb.org/anthology/2020.emnlp-main.523.pdf |
| OpenAlex ID | https://openalex.org/W3104415840 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Yūji Matsumoto](https://scholariq.org/researchers/yuji-matsumoto-2/)

## 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/)
- [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.