Conference Information
NAACL 2019: Annual Conference of the North American Chapter of the Association for Computational Linguistics
Submission Date:
Notification Date:
Conference Date:
Minneapolis, Minnesota, USA
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Conference Location
Call For Papers
The 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019) will be held in Minneapolis from June 2nd to June 7th, 2019. NAACL-HLT 2019 aims to bring together researchers interested in the design and study of natural language processing technology as well as its applications to new problem areas. With this goal in mind, NAACL-HLT 2019 invites the submission of long and short papers on creative, substantial and unpublished research in all aspects of computational linguistics.

NAACL-HLT 2019 has a goal of a diverse technical program–in addition to traditional research results, papers may present negative findings, survey an area, announce the creation of a new resource, argue a position, report novel linguistic insights derived using existing techniques, and reproduce, or fail to reproduce, previous results.


While NAACL 2019 will have a theme (described below), we anticipate a comprehensive technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order):

    Cognitive modeling / Psycholinguistics
    Dialog and Interactive systems
    Discourse and Pragmatics
    Information Extraction
    Machine Learning for NLP
    Machine Translation
    NLP Applications
    Phonology, Morphology and Word Segmentation
    Question Answering
    Resources and Evaluation
    Sentiment Analysis
    Social Media
    Tagging, Chunking, Syntax and Parsing
    Text Mining
    Theory and Formalisms
    Vision, Robotics, and Other Grounding

Theme Topics

At NAACL-HLT 2019, while we anticipate a broad technical program, we are especially interested in papers that address the tension between data privacy and model bias in NLP. There is a growing awareness of the inherent biases in opportunistically collected data sets, and yet there is a risk of skewing your models or losing information in attempting to explicitly introduce balance. The main challenge in this is how to ensure diversity of the underlying feature space without violating individual privacy, e.g. balancing gender requires defining and tracking gender. There are a number of active workshops in related areas (Ethics in NLP, and the Workshop on NLP for Internet Freedom being two) and we want to bring some of the same topics to the forefront in the main conference. Potential topics of interest include: using NLP for surveillance and profiling, balancing the need for broadly representative data sets with protections for individuals, understanding and addressing model bias, and where bias correction becomes censorship. We anticipate that this theme will inform the plenary sessions, and a Best Thematic Paper award will be given in addition to traditional Best Paper Awards.

As in recent years, some of the presentations at the conference will be of papers accepted by the Transactions of the ACL. In addition, please consult the separate CFP for NAACL-HLT 2019 industry track submissions. Separate CFPs will also be forthcoming for submissions for system demonstrations and for student research workshop papers.
Last updated by Dou Sun in 2018-11-05
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