Arabic named entity recognition-a survey and analysis
| Author | Dandashi, Amal |
| Author | Al Jaam, Jihad |
| Author | Foufou, Sebti |
| Available date | 2021-06-24T06:47:09Z |
| Publication Date | 2016 |
| Publication Name | Smart Innovation, Systems and Technologies |
| Resource | Scopus |
| ISSN | 21903018 |
| Abstract | As Arabic digital data has been increasing in abundance; the need for processing this information is growing. Named entity recognition (NER) is an information extraction technique that is vital to the processes of natural language processing (NLP). The ambiguous characteristics of the Arabic language make tasks related to NER and NLP very challenging. In addition to that, work related to Arabic NER is rather limited and under-studied. In this study, we survey previous works and methodologies and provide an analysis and discussion on the feature sets used, evaluation tools and advantages and disadvantages of each technique. Springer International Publishing Switzerland 2016. |
| Language | en |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Subject | Computational linguistics Interactive computer systems Multimedia services Multimedia systems Surveys Arabic languages Digital datas Evaluation tool Information extraction techniques Named entity recognition NAtural language processing Survey and analysis Work-related Natural language processing systems |
| Type | Conference Paper |
| Pagination | 83-96 |
| Volume Number | 55 |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||
This item appears in the following Collection(s)
-
Computer Science & Engineering [2211 items ]