Call for Papers

Call for Papers

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ACLing 2025 invites submissions from researchers in academia and industry presenting original, ‎unpublished work that explores theoretical foundations, practical applications, algorithms, and ‎architectures in the field of Natural Language Processing (NLP),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.‎

For a downloadable PDF of ACLing 2025 Call For Paper (CFP) [Download Here]

 Program Committee 

For Full Program Committee List  [Click Here]

Submission and Publication

The conference solicits submissions of original, unpublished research that is not presently under evaluation by any other conference or journal. All accepted papers will be published in Procedia Computer Science by ELSEVIER. All peer-reviewed research articles published in Procedia Computer Science will be available as open access and will be assigned a DOI. Procedia Computer Science (ISSN: 1877-0509) is indexed in Scopus, the largest abstract and citation database of peer-reviewed literature. Procedia Computer Science is ranked by SJR. You can also check Google Scholar citation impact so far: ACLing Scholar Citations.

ACLing 2025 welcomes high-quality technical papers presenting original research, novel approaches, and significant findings in the field of AI in Computational Linguistics.

Submitted manuscripts should adhere to the following guidelines:

  • Submissions must be between 3 and 8 pages in length, inclusive of figures, tables, and references.
  • Authors wishing to submit extended work may include up to 2 additional pages (for a maximum of 10 pages total) subject to an additional charge per page.
  • All submissions must conform to the conference formatting and ethical standards. Detailed submission guidelines and templates will be made available on the conference website [Click Here].

All submissions will undergo peer review by experts in the field and Papers not following these guidelines will be rejected without review. Submission is electronic using EasyChair, to submit your paper [Click Here]

Each accepted paper must be presented at the conference by one of its authors. While a single author may be associated with multiple accepted papers, a separate registration fee is required for each paper.

Important Dates

  • Submission Deadline: 3 November 2025
  • Final camera-ready Submission: 10 November 2025
  • Author ‎Registration & Payment: 17 November 2025
  • ‎‎Conference: 6 – 7 December 2025‎

Venue

ACLing2025 Contact:

General Inquiries: