**Workshop on Natural Legal Language Processing (NLLP) 2022** 8 December 2022 Abu Dhabi, UAE & Online Collocated with EMNLP 2022 Website: <http://nllpw.org/workshop> - Twitter: @nllpworkshop - Contact: nllp.chairs@gmail.com Sponsors: [Bloomberg](https://www.bloomberg.com/company/values/tech-at-bloomberg/artificial-intelligence-ai/) and [LBox](https://lbox.kr/) Following the success of the first three editions of the NLLP workshop (NAACL 2019, KDD 2020, EMNLP 2021), we aim to bring researchers and practitioners from NLP, machine learning and other artificial intelligence disciplines together with legal practitioners and researchers. **Topics** We welcome all submissions describing original work with one or more of the following contribution types: Applications of NLP to legal tasks including, but not limited to: * Legal Citation Resolution * Case Outcome Analysis and Prediction * Models of Legal Reasoning * E-Discovery * Lexical and other Data Resources for the Legal Domain * Bias and Privacy * Experimental results using and adapting NLP methods for legal data including: * Classification * Information Retrieval * Anomaly Detection * Clustering * Knowledge Base Population * Multimedia Search * Link Analysis * Entity Recognition and Disambiguation * Training and Using Embeddings * Parsing * Dialogue and Discourse Analysis * Text Summarization and Generation * Relation and Event Extraction * Anaphora Resolution * Question Answering * Query Understanding * Combining Text with Structured data Tasks * Description of new legal tasks for NLP * Structured overviews of a specific task with the goal of identifying new areas for research * Position papers presenting new visions, challenges and changes to existing research practices Resources * Creation of curated and/or annotated data sets that can be publicly released and used by the community to advance the field Demos * Descriptions of systems which use NLP technologies for legal text Industrial Research * Industrial applications * Papers describing research on proprietary data Interdisciplinary Position Papers * Legal and socio-legal analyses relating to the role NLP can play in the legal field * Critical reflections on the legality and ethics of data collection and processing practices **Submissions** We accept papers reporting original (unpublished) research of two types: * Long papers (max 8 pages + references) * Short papers (max 4 pages + references) To submit a paper, please access the submission link: <https://softconf.com/emnlp2022/NLLP> Conference proceedings will be published on the [ACL Anthology](https://aclanthology.org/). **Non-archival option** The authors have the option of submitting previously unpublished research as non-archival, meaning that only the abstract will be published in the conference proceedings. We expect these submissions to describe the same quality of work as archival submissions. These will be reviewed following the same procedure as archival submissions. This option accommodates publication of the work or a superset at a later date in a conference or journal which does not allow previously archived work and to encourage presentation and feedback on mature, yet unpublished work. Non-archival submissions should adhere to the same formatting and length constraints as archival submissions. **Dual Submission and Pre-print Policy** Papers that have been or will be submitted to workshops, conferences or journals during the review period must indicate so at submission time. Authors of papers accepted for presentation at the NLLP workshop 2022 must notify the organizers by the camera-ready deadline as to whether the paper will be presented or withdrawn. If the preliminary version of a paper was posted in arXiv, the authors should NOT mention it as their own paper in the submission. Papers that violate the double-blind review requirements will be desk rejected. Exception: Submissions with the non-archival option are excepted from these requirements. **ACL Rolling Review Submissions** Our workshop also welcomes submissions from [ACL Rolling Review (ARR)](https://aclrollingreview.org/). Authors of any papers that are submitted to ARR and have their meta review ready may submit their papers and reviews for consideration for the workshop until 15 October 2022. This should include submissions to ARR for the 1 September deadline. **Double-Blind reviewing** The review process is double-blind. Submitted papers must not include author names and affiliations and they must be written in a way so that they do not break the double-blind reviewing process. If the preliminary version of a paper was posted in arXiv, the authors should NOT mention it as their own paper in the submission. Papers that violate the double-blind review requirements will be desk rejected. **Submission Style & Format Guidelines** Paper submissions must use the official ACL style templates, which are available [here](https://github.com/acl-org/acl-style-files) (Latex and Word). Please follow the paper formatting guidelines general to "\*ACL" conferences available [here](https://acl-org.github.io/ACLPUB/formatting.html). Authors may 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. All long, short and theme papers must follow the [ACL Author Guidelines](https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines). **Important Dates** Submission deadline: 26 September 2022 Notification: 12 October 2022 ARR Commitment deadline: 15 October 2022 Camera ready: 26 October 2022 Workshop: 8 December 2020 All deadlines are 11.59 pm UTC -12h. **Presentation** Presentation format and schedule will be announced before the camera-ready deadline. At least one author of each accepted paper must register for the NLLP 2022 by the registration deadline in order for the submission to be published in the proceedings. **Organizing Committee** * Nikolaos Aletras ― University of Sheffield * Leslie Barrett ― Bloomberg Law * Ilias Chalkidis ― University of Copenhagen * Catalina Goanta ― Utrecht University * Daniel Preotiuc-Pietro ― Bloomberg