# Developing an Open Domain Arabic Question Answering System Using a Deep Learning Technique

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/developing-an-open-domain-arabic-question-answering-system-using-a-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yazeed Alkhurayyif,Abdul Rahaman Wahab Sait |
| Citations | 24 |
| DOI | 10.1109/access.2023.3292190 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/6514899/10172214.pdf |
| OpenAlex ID | https://openalex.org/W4383112375 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Yazeed Alkhurayyif](https://scholariq.org/researchers/yazeed-alkhurayyif/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## 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.