Overview

ACL 2025 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of Computational Linguistics and Natural Language Processing. ACL 2025 has a goal of a diverse technical program—in addition to traditional research results, papers may contribute negative findings, survey an area, announce the creation of a new resource, argue a position, report novel linguistic insights derived using existing computational techniques, and reproduce, or fail to reproduce, previous results. As in recent years, some of the presentations at the conference will be of papers accepted by the Transactions of the ACL (TACL) and by the Computational Linguistics (CL) journals.

Papers submitted to ACL 2025, but not selected for the main conference, will also automatically be considered for publication in the Findings of the Association of Computational Linguistics.

Paper Submission Information

Papers may be submitted to the ARR 2025 February cycle. Papers that have received reviews and a meta-review from ARR (whether from the ARR 2025 February cycle or an earlier ARR cycle) may be committed to ACL 2025 via the conference commitment site (TBA).

Submission Topics

ACL 2025 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order):

    Computational Social Science and Cultural Analytics
    Dialogue and Interactive Systems
    Discourse and Pragmatics
    Efficient/Low-Resource Methods for NLP
    Ethics, Bias, and Fairness
    Generation
    Information Extraction
    Information Retrieval and Text Mining
    Interpretability and Analysis of Models for NLP
    Language Modeling
    Linguistic theories, Cognitive Modeling and Psycholinguistics
    Machine Learning for NLP
    Machine Translation
    Multilinguality and Language Diversity
    Multimodality and Language Grounding to Vision, Robotics and Beyond
    NLP Applications
    Phonology, Morphology and Word Segmentation
    Question Answering
    Resources and Evaluation
    Semantics: Lexical and Sentence-Level
    Sentiment Analysis, Stylistic Analysis, and Argument Mining
    Speech recognition, text-to-speech and spoken language understanding
    Summarization
    Syntax: Tagging, Chunking and Parsing
    Special Theme: Generalization of NLP Models