Call for Papers
Following the success of the first NLLP Workshop, we aim to bring together researchers and practitioners from Data Science (DS), Natural Language Processing (NLP), Machine Learning (ML) and other Artificial Intelligence (AI) disciplines, and the legal domain.
We welcome all submissions describing original work with one or more of the following contribution types:
Applications of DS/AI/NLP/ML to legal tasks including:
Legal Citation Resolution
Case Outcome Analysis and Prediction
Models of Legal Reasoning
Lexical and other Data Resources for the Legal Domain
Bias and Privacy
Experimental results using and adapting DS/AI/NLP/ML methods for legal data including:
Knowledge Base Population
Entity Recognition and Disambiguation
Training and Using Embeddings
Dialogue and Discourse Analysis
Text Summarization and Generation
Relation and Event Extraction
Combining Text with Structured data
Description of new legal tasks for DS/AI/NLP/ML.
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.
Creation of curated and/or annotated data sets that can be publicly released and used by the community to advance the field.
Descriptions of systems which use DS/AI/NLP/ML technologies for legal text.
Papers describing research on proprietary data.
We accept papers reporting original (unpublished) research of two types:
Long papers (max 6 pages + references)
Short papers (max 3 pages + references)
To submit a paper, please access the submission link: https://easychair.org/conferences/?conf=nllp2020
Conference proceedings will be published on the CEUR Workshop Proceedings.
The authors have the option of submitting previously unpublished research as non-archival, meaning that only the abstract will be published in the conference proceedings.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or journal which does not allow previously archived work and to encourage presentation and feedback on mature, yet unpublished work.
Dual Submission 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 2020 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 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 this requirement.
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 as their own paper in the submission. Papers that violate the double-blind review requirements will be desk rejected.
Submission Style & Format Guidelines
Submissions to the workshop must be in PDF and formatted according to the new Standard ACM Conference Proceedings Template. For LaTeX users: unzip acmart.zip, make, and use sample-sigconf.tex as a template.
Additional information about formatting and style files is available online at: https://www.acm.org/publications/proceedings-template.
Papers that do not meet the formatting requirements will be rejected without review.
Submission deadline ― 5 June 2020
(20 May 2020)
Notification ― 25 June 2020 (
15 June 2020)
Camera ready ― 16 July 2020
(30 June 2020)
Workshop ― 24 August 2020
All deadlines are 11.59pm UTC -12h