The Third International Conference on Arabic Computational Linguistics (ACLing2017)

Call for Papers May 29, 2017 No Comments
The Third International Conference on Arabic Computational Linguistics (ACLing2017)
CALL FOR PAPERS
The Third International Conference on Arabic Computational Linguistics (ACLing2017)
Dubai, UAE, 5-6 November 2017
Publiction: Procedia Computer Science by ELSEVIER

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IMPORTANT DATES
* Paper submission deadline: June 15th, 2017
* Notification of Acceptance: August 15th, 2017
* Camera ready version submission: September 10, 2017
* Conference Date: November 5-6, 2017
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INTRODUCTION
The goal of the Conference is to bring together leading academicians, scientists, researchers and practitioners from all over the world to exchange new ideas and the latest results in Arabic Computational Linguistics and NLP. The field has become increasingly important, as more and more Arabic information is now available through the Web, Social Media and Intranet services. We invite you to participate in ACLing2017 and we are confident that you will find the program enriching, enlightening and rewarding. All the accepted papers will be published in the Procedia Computer Science (https://www.journals.elsevier.com/procedia-computer-science) by ELSEVIER. Every peer-reviewed research article appearing in Procedia Computer Science will be published open access and will have a DOI assigned. Procedia Computer Science (ISSN: 1877-0509) of this series is indexed in Scopus, the largest abstract and citation database of peer-reviewed literature.
TOPICS OF INTEREST
ACLing2017 invites researchers from academia and industry to submit their papers on recent, unpublished research that addresses theoretical aspects, algorithms, and architectures of Arabic Natural Language Processing systems. Papers describing the creation of resources, as well as survey and discussion papers, are also welcomed.
We invite papers that pertain to the workshop theme including but not limited to:
* Information Retrieval and Question Answering
* Linguistic Theories and Resources
* Machine Learning
* Machine Translation
* Multilinguality and Cross-linguality
* NLP Applications
* Segmentation, Tagging, and Parsing
* Semantics
* Sentiment Analysis and Opinion Mining
* Web, Social Media and Computational Social Science
* Spoken Language Processing
* Summarization
* Text Categorization and Topic Modeling
* Text Mining
* Language and Vision
PROGRAM COMMITTEE MEMBERS (Confirmed)
The Programme Committee features experts in different aspects of Arabic Computational Linguistic:
* Link to the full list of program committee members http://acling2017.org/organizer/
HOW TO SUBMIT
* Long papers: 8 pages including including figures, tables and references.
* Short papers: 4 pages including including figures, tables and references.
We encourage submissions that describe original unpublished work not currently under review for any other conference or journal. Submissions should be prepared according to the main conference guidelines and format described at the Submission Web Page: http://acling2017.org/submission/ All submissions should be written in English and submitted as PDF. Submissions will be peer reviewed by the program committee members. Evaluation criteria will include correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. All the submissions should be submitted via EasyChair: https://easychair.org/conferences/?conf=acling2017
CONFERENCE ORGANIZERS
* Prof. Dr. Khaled Shaalan, The British University of Dubai, UAE
* Prof. Dr. Samhaa R. El-Beltagy, Nile University, Egypt
FURTHER INFORMATION & CONTACT DETAILS
* Registration is available via the main conference website: http://acling2017.org/registration-2/
* The conference website (http://www.Acling2017.org) will be updated on a regular basis.
* For further information, please email ACLing2017@gmail.com

Achraf Othman

Dr. Achraf is a senior research specialist in Accessibility and Assistive Technology for People with disabilities and Machine Translation and Machine Learning.