The 2nd Workshop on Natural Legal Language Processing (NLLP)
24 August 2020
San Diego, CA, USA
Collocated with KDD 2020
Website: http://nllpw.org - Twitter: @nllpworkshop - Contact: nllp.chairs [at] gmail.com
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.
Topics
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
- E-Discovery
- 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:
- 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 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.
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 DS/AI/NLP/ML technologies for legal text.
Industrial Research
- Industrial applications.
- Papers describing research on proprietary data.
Submissions
We accept papers reporting original (unpublished) research of two types:
- Long papers (max 6 pages + references)
- Short papers (max 3 pages + references)
All submissions should be anonymized to facilitate double blind reviewing. 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.
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The authors have the option of submitting previously unpublished research as non-archival, meaning that only the abstract will be published in the conference proceedings.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 2020 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 and should follow the KDD paper formatting.
Important Dates
Submission deadline: 20 May 2020
Notification: 15 June 2020
Camera ready: 30 June 2020
Workshop: 24 August 2020
All deadlines are 11.59 pm UTC -12h.
Presentation
We are monitoring the COVID-19 situation and we will follow the KDD 2020 recommendations around the workshop's form of organization.
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 2020 by the registration deadline in order for the submission to be published in the proceedings.
Organization
Ion Androutsopoulos ― Athens University of Economics and Business
Nikolaos Aletras ― University of Sheffield
Leslie Barrett ― Bloomberg Law
Adam Meyers ― New York University
Daniel Preotiuc-Pietro ― Bloomberg LP