The 1st Workshop on Natural Legal Language Processing (NLLP)
6 or 7 June 2019
Minneapolis, MN, USA
Collocated with NAACL 2019
Website: http://nllpw.org
Twitter: @nllpworkshop
Contact: nllp.chairs [at] gmail.com
The aim of the workshop is to bring together researchers and practitioners from Natural Language Processing (NLP) and the legal domain to:
- Foster collaboration between the two fields;
- Discuss applications of NLP technologies in the legal domain;
- Formulate targets and priorities for NLP approaches to legal text;
- Identify challenges specific to the legal domain.
We consider “legal text” to include litigation-related corpora such as dockets, opinions and court transcripts but also corpora based on patents, briefs, public financial filings, civil code, local ordinances, law enforcement records, congressional records and speeches.
Topics
We welcome all submissions describing original work with one or more of the following contribution types:
-
Applications of NLP to legal tasks including:
- Legal Citation Resolution
- Case Outcome Analysis and Prediction
- Models of Legal Reasoning
- E-Discovery
- Lexical Resources for the Legal Domain
- Bias and Privacy
-
Experimental results using and adapting NLP methods in legal documents including:
- Text Classification
- Information Retrieval
- Entity Recognition
- Entity Disambiguation
- Training and Using Embeddings
- Parsing
- Dialogue and Discourse Analysis
- Knowledge Graph population
- Text Summarization
- Relation Extraction
- Event Extraction
- Anaphora Resolution
-
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 applications, e.g. papers describing research on proprietary data
Submission
We accept papers reporting original (unpublished) research of two types:
- Long papers (8 pages + references)
- Short papers (4 pages + references)
All submissions should be anonymized to facilitate double blind reviewing.
Submissions that do not adhere to the author guidelines or ACL policies will be rejected without review.
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The authors have the option of submitting previously unpublished research as non-archival, meaning that only the abstract will be published in the conference proceedings.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.
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 2019 must notify the organizers by the camera-ready deadline as to whether the paper will be presented or withdrawn.
Exception: Submissions with the non-archival option are excepted from this requirement.
Style & Format Guidelines
Submissions to the workshop must be in PDF format and should follow the NAACL-HLT 2019 style templates:
Important Dates
Submission deadline: 11 March 2019
Notification: 29 March 2019
Camera ready: 5 April 2019
Workshop: 6 or 7 June 2019
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 workshop 2019 by the early registration deadline in order for the submission to be published in the proceedings.
Organization
- Nikolaos Aletras ― University of Sheffield
- Elliott Ash ― ETH Zurich
- Leslie Barrett ― Bloomberg Law
- Daniel Chen ― Toulouse School of Economics
- Adam Meyers ― New York University
- Daniel Preotiuc-Pietro ― Bloomberg LP
- David Rosenberg ― Bloomberg LP
- Amanda Stent ― Bloomberg LP