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CALL FOR PAPERS (ACLing conference series)
Seventh International Conference on AI in Computational Linguistics (ACLing 2025)
December 6-7, 2025 (Hybrid Conference)
Brochure: https://acling.org/wp-content/uploads/2025/09/ACLing25_7th_CFP.pdf
Publication: Procedia Computer Science by ELSEVIER (https://www.sciencedirect.com/journal/procedia-computer-science)
Website: https://acling.org/
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IMPORTANT DATES

* Submission deadline: 27 October 2025
* Acceptance Notification: 3 November 2025
* Final Camera-ready submission: 10 November 2025
* Author Registration & Payment: 17 November 2025
* Conference Date: 6-7 December 2025
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INTRODUCTION

The AI in Computational Linguistics (ACLing) conference serves as a premier international platform for the dissemination of cutting-edge research at the intersection of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). In light of rapid advancements in neural networks and large language models, the conference aims to foster scholarly exchange and collaboration among leading academics, researchers, and industry professionals engaged in the development and application of AI-driven methods in computational linguistics. ACLing welcomes high-quality contributions that address theoretical foundations, novel algorithms, and practical implementations across all dimensions of AI and ML in language technologies. The conference seeks to promote dialogue on emerging trends, innovative solutions, and critical challenges in the field, reflecting the growing importance and societal impact of AI-powered language processing. This year, the conference will be hosted by The British University in Dubai (BUiD), an institution recognized for its dedication to academic excellence, impactful research, and global engagement. BUiD’s commitment to fostering interdisciplinary innovation makes it an ideal venue for this prestigious event.

TOPICS OF INTEREST

ACLing 2025 invites submissions from researchers in academia and industry presenting original, unpublished work that explores theoretical foundations, practical applications, algorithms, and ?architectures in the field of Natural Language Processing (NLP), Computational Linguistics, and the integration of Artificial Intelligence (AI) and Machine Learning (ML). Contributions related to resource creation, evaluation methodologies, benchmarking, and survey or position papers that critically assess the state of the art are also highly encouraged.

We welcome submissions in (but not limited to) the following areas:

* Advanced Information Retrieval and Question Answering
* Knowledge and Information Extraction
* Linguistic Theories and Formal Resources for AI
* Statistical and Neural Language Modeling
* Speech Technologies and Multimodal Language Interfaces
* Machine Translation and Cross-Lingual NLP
* Multilinguality, Code-Switching, and Low-Resource Languages
* Domain-Specific NLP (e.g., Legal, Biomedical, Scientific, Educational)
* Syntactic Analysis, Tagging, and Parsing
* Semantics, Pragmatics, and Commonsense Reasoning
* Emotion Recognition, Sentiment Analysis, and Social Signal Processing
* NLP for Social Media and Computational Social Science
* Conversational AI, Spoken Dialogue, and Interactive Systems
* Abstractive and Extractive Text Summarization
* Natural Language Generation, Storytelling, and Creative AI
* Text Classification, Topic Modeling, and Document Understanding
* Text Mining and Large-Scale Knowledge Discovery
* Vision-Language Models and Multimodal AI
* Ethical, Legal, and Societal Implications of AI in Language Technologies
* Large Language Models (LLMs): Architecture, Optimization, and Applications
* Responsible and Interpretable AI for Language Understanding
* Generative AI: Models, Evaluation, and Emerging Applications
* Reinforcement Learning and Prompt Engineering for NLP Tasks
* AI for Resource-Poor and Endangered Languages
* Human-Centered NLP and User-Aware Language Interfaces
* Benchmarking, Evaluation Metrics, and Explainability in NLP
* AI-Augmented Writing, Reading, and Translation Tools

This wide-ranging list reflects the dynamic nature of the field and aims to encourage interdisciplinary engagement that advances the frontiers of AI-driven language technologies.

HOW TO SUBMIT

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: https://acling.org/submission/
Submissions will be peer reviewed by the program committee members.
All the submissions should be submitted via EasyChair: https://easychair.org/conferences?conf=acling2025

CONFERENCE ORGANIZERS

* Prof. Dr. Khaled Shaalan, The British University in Dubai, UAE
* Prof. Dr. Samhaa R. El-Beltagy, Newgiza University, Egypt

INDEXING, RANKING, AND IMPACT (web sources):

* Abstracting and indexing: https://www.sciencedirect.com/journal/procedia-computer-science/about/insights#abstracting-and-indexing
* Scopus: https://www.scopus.com/sourceid/19700182801?origin=sbrowse
* CiteScore: https://www.scopus.com/sourceid/19700182801?origin=sbrowse
* SJR (scimago): https://www.scimagojr.com/journalsearch.php?q=19700182801&tip=sid
* ACLingy by Google Citation: https://scholar.google.com/citations?user=jkpMuFMAAAAJ&hl=en
* ACLing by DBLP: https://dblp.org/db/conf/acling/index.html

FURTHER INFORMATION & CONTACT DETAILS
* Vist the conference website link https://acling.org/ (will be updated on a regular basis).
* For general information, please contact us at ACLing2025@gmail.com