CoNLL 2018 : The SIGNLL Conference on Computational Natural Language Learning
Call For Papers
First Call for Papers
SIGNLL, the Association for Computational Linguistics’ Special Interest Group on Natural Language Learning, invites you to submit your papers to CoNLL 2018 (October 31 – November 1, 2018) in Brussels, Belgium.
We invite the submission of papers on all aspects of computational approaches to natural language learning, including, but not limited to:
- Language Models, Segmentation
- Morphological Analysis, POS Tagging and Sequence Labeling
- Syntactic and Semantic Parsing
- Lexical and Compositional Semantics
- Discourse and Coreference
- Dialogue and Interactive Systems
- Narrative Understanding and Commonsense Reasoning
- Spoken Language Processing
- Sentiment Analysis and Opinion Mining
- Information Retrieval, Question Answering
- Information Extraction
- Text Mining
- Natural Language Generation
- Machine Translation
- Other NLP Applications
- Multilinguality and Cross-linguality
- Machine Learning for NLP
- Multimodal and Grounded Language Processing
- Linguistic Theories and Resources
- Computational Psycholinguistics
- Computational Models of Language evolution and Change
- Computational Simulation and Analysis of Psycholinguistic Findings
- Computational Learning Theory and Analysis of Language Learning
- Computational Models of First, Second and Bilingual Language Acquisition
- Data Resources, Techniques and Tools for Computational Modeling of Human
- Language Acquisition and Processing
- Investigations of Learning Methods (e.g. machine learning, statistical, symbolic, biologically-inspired, active learning, various hybrid models) from a Cognitive Perspective
- Models of induction and Analogy in Linguistics
Paper submission: June 1, 2018
Author response starts: July 6, 2018
Author rebuttals due: July 10, 2018
Notification of acceptance: July 27, 2018
Camera-ready due: August 24, 2018
Conference: October 31 - November 1, 2018 (before EMNLP 2018)
Note: All deadlines are calculated at 11:59pm UTC-12h.
- Paper submissions
CoNLL 2018 long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Each submission will be reviewed by at least three program committee members. Each long paper submission consists of a paper of up to eight (8) pages of content, plus unlimited pages for references. Final versions of long papers will be given one additional page (up to nine pages with unlimited pages for references) so that reviewers comments can be taken into account.
- IMPORTANT: New submission guidelines
CoNLL 2018 adopts ACL’s new policies for submission, review, and citation. Submissions that violate any of these policies will be rejected without review. Most importantly, the policies refer to the anonymity period, which starts on June 1, 2018 for CoNLL 2018.
You may not make a non-anonymized version of your paper available online to the general community (for example, via a preprint server) during the anonymity period.
You may not update the non-anonymized version during the anonymity period, and we ask you not to advertise it on social media or take other actions that would further compromise double-blind reviewing during the anonymity period.
The details are described in the ACL 2018 Author Guidelines, which we follow.
- Optional Supplementary Materials: Appendices, Software and Data
Each CoNLL 2018 submission can be accompanied by a single PDF appendix, one .tgz or .zip archive containing software, and one .tgz or .zip archive containing data. CoNLL 2018 encourages the submission of these supplementary materials to improve the reproducibility of results, and to enable authors to provide additional information that does not fit in the paper. For example, preprocessing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work described in the paper can be put into the appendix. However, the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review or download them. If the pseudo-code or derivations or model specifications are an important part of the contribution, or if they are important for the reviewers to assess the technical correctness of the work, they should be a part of the main paper, and not appear in the appendix. Supplementary materials need to be fully anonymized to preserve the double-blind reviewing policy.
- Formatting Requirements
Both long and short papers must follow the EMNLP 2018 two-column format, using the LaTeX style files or Word template to be provided on the the EMNLP 2018 website. Please do not modify these style files, or use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review.
- Double-Blind Review Instructions
As the reviewing will be blind, submissions and supplementary materials must not include the authors’ names and affiliations. Furthermore, self-references that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided. Instead, use citations such as “Smith (1991) previously showed …”. Acknowledgments of funding or assistance must also be omitted. Submissions should not contain pointers to supplemental information on the web; any such material should be submitted as supplementary materials (see above). Submissions that do not conform to these requirements will be rejected without review. Separate author identification information is required as part of the online submission process.
- Multiple Submission Policy
Papers that have been or will be submitted to other meetings or publications must indicate this at submission time, and must be withdrawn from the other venues if accepted by CoNLL 2018. However, submission to both CoNLL 2018 and EMNLP 2018 is not permitted. This decision has been taken jointly between the program chairs of EMNLP and CONLL.
We will not accept for publication or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. Authors submitting more than one paper to CoNLL 2018 must ensure that the submissions do not overlap significantly ()25%) with each other in content or results.
We will be accepting submissions online via Softconf. The submission deadline is June 1, 2018.
- Presentation Requirement
All accepted papers must be presented at the conference in order to appear in the proceedings. At least one author of each accepted paper must register for CoNLL 2018. Accepted papers will be presented orally or as a poster (at the discretion of the program chairs based on the nature rather than the quality of the work). All papers will be published in the conference proceedings. There will be no distinction in the proceedings between papers presented orally or as posters.
- Further information
The conference will take place immediately before EMNLP 2018 (October 31 – November 1, 2018). CoNLL 2018 website will continue to be updated with information.
- Best Paper Award
As in recent CoNLL conferences, a Best Paper Award will be given to the authors of the highest quality paper. The most important aspects in judging the quality of a paper will be: originality, innovativeness, relevance, and impact of the presented research.
CoNLL will have two Shared Tasks this year:
CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
Mans Hulden, University of Colorado, USA
Ryan Cotterell, Johns Hopkins University
Multilingual Parsing from Raw Text to Universal Dependencies
Jan Hajič, Charles University, Czech Republic
Dan Zeman, Charles University, Czech Republic
Anna Korhonen, University of Cambridge
Ivan Titov, University of Edinburgh
Marine Carpuat, University of Maryland, USA
Paul Cook, University of New Brunswick, USA
Vera Demberg, Saarland University, Germany
Graham Neubig, Carnegie Mellon University, USA
Sebastian Pado, University of Stuttgart, Germany
Siva Reddy, Stanford University, USA
Roi Reichart, Technion, Israel
Alan Ritter, Ohio State University, USA
Tim Rocktäschel, University of Oxford, UK
Mehrnoosh Sadrzadeh, Queen Mary University of London, UK
Sameer Singh, University of California, Irvine USA
Yulia Tsvetkov, Carnegie Mellon University, USA
Miikka Silfverberg, University of Colorado, USA
Phong Le, University of Edinburgh, UK
Publicity / sponsorship chair:
Edoardo Ponti, University of Cambridge, UK