- Call for Papers [2nd Extension] -

Paper submission deadline: October 26, 2020

Extended Paper submission deadline: Thursday, November 5, 2020

The Fourth Workshop on Automated Detection, Extraction and Analysis of Semantic Information in Legal Texts (ASAIL) will be held online on December 9, 2020, in conjunction with 33rd International Conference on Legal Knowledge and Information Systems​ (Jurix 2020). It is a continuation of the successful ASAIL workshops in 2015, 2017, and 2019.

This workshop will bring together an interdisciplinary group of scholars, academic and corporate researchers, legal practitioners, and legal service providers for an extended, collaborative discussion about applying natural language processing and machine learning to the semantic analysis of legal texts. Semantic analysis is the process of relating syntactic elements and structures, drawn from the levels of phrases, clauses, sentences, paragraphs, and whole documents, to their language-independent meanings in a given domain, including meanings specific to legal information. The range of focal texts includes:

• statutes, regulations, and court-made pronouncements of legal rules embodying legal norms,

• textual arguments in legal case opinions interpreting legal norms and applying them in concrete fact situations,

• legislative and policy-based debates concerning proposed legal norms, their purpose and meaning,

• actual and proposed contracts that need to be analyzed for the permissions and obligations they encode and their consistency with organizational preferences or legal frameworks.

Researchers have long been developing tools to aggregate, synthesize, structure, summarize, and reason about legal norms and arguments in texts. Current dramatic advances in natural language processing, text and argument mining, information extraction, and automated question answering are changing how automatic semantic analysis of legal rules and arguments will be performed in the future. In particular, the recent breakthrough in natural language processing brought about by neural network models, including transfer learning using complex language models, has created immense new potential for leveraging legal text for technology supporting legal practice, research, argumentation, and decision making. At the same time, increasing awareness of the mandate of ethical use of AI is fueling a debate about the requirements of such systems and motivates important exploratory work on explainable legal AI.

Covered Topics

• Application of NLP to analyze arguments in legal texts: identification, annotation, and extraction of argument elements; relating arguments; and classifying arguments

• Automated or semi-automated approaches to extracting legal norms from legal texts

• Creation/evaluation of high quality annotated natural language legal corpora

• Automated semantic analysis of legal texts

• Development of computer-supported annotation environments for automated semantic analysis of legal texts

• Applications of machine learning to train automatic systems on tasks related to semantic analysis of legal texts, identifying legal norms, or extracting legal argumentation

• Summarization, visualization, and information retrieval for legal texts

• Argument mining of court cases, legislative records, legal policy debates and other legal documents

• Automated translations of legal text to formal or abstract representations that can be used for reasoning

• Applications of computational models of legal argumentation to guide interpretation of legal texts

• Application of linguistic theories of syntax, semantics, pragmatics, and discourse to legal texts

• Adaptation of NLP tools to the particularities of legal texts

• Implications of the above developments for law students and legal education

Inclusiveness

The ASAIL workshops strives for inclusiveness and the organizing committee encourages submissions of work concerning all legal systems, traditions, and languages.

Papers Solicited

We invite papers written in English on, and demonstrations of, original work on the above listed and other aspects of automated detection, extraction and analysis of semantic information in legal texts. Two types of papers are solicited:

• full research papers (10 pages in the approved style) and

• short position and demonstration papers (5 pages in the approved style).

A Program Committee will review both types of papers using the conference review system. Submissions will be evaluated on appropriateness for this call, originality of the research described and technical quality. Authors of selected papers will be invited to present the papers at the Workshop: 30-minute presentations (including 10 minutes of questions) for full research papers and 15-minute presentations for position and demonstration papers (including 5 minutes of questions).

Workshop Format

Both the morning and afternoon session will likely include full and short paper presentations with subsequent Q&A. In order to maximize inclusiveness, the organizing committee will decide on other elements in the workshop schedule after all submissions have been received. Possible additions to the program include an invited speaker and moderated general discussion sessions.

Submissions

Submissions must follow the IOS Press template/style, which is the same as required by Jurix 2020. Papers must be submitted via the ASAIL 2020 Easychair system.

Assuming enough submissions of sufficient quality are received, accepted papers will be published as part of the workshop proceedings at CEUR-WS as in prior ASAIL workshops (2017, 2019).

Important Dates

Submissions due: Thursday, November 5, 2020 [2nd EXTENSION]

Authors are strongly encouraged to submit an early abstract of their submission.

Accept/Reject notification: November 16, 2020

Camera-Ready Papers due: November 30, 2020

Organizing Committee

• Kevin D. Ashley, University of Pittsburgh

• Katie Atkinson, University of Liverpool

• Karl Branting, MITRE Corporation

• Enrico Francesconi, Italian National Research Council (ITTIG-CNR), Publications Office of the EU

• Matthias Grabmair, SINC

• Vern R. Walker, Maurice A. Deane School of Law at Hofstra University

• Bernhard Waltl, BMW Group AG 

• Adam Wyner, Swansea University

Program Committee

• Tommaso Agnoloni, ITTIG-CNR

• Nikolaos Aletras, The University of Sheffield

• David Restrepo Amariles, HEC Paris

• Elliott Ash, ETH Zurich

• Floris Bex, Utrecht University

• Chris Giannella, The MITRE Corp.

• Francesca Lagioia, University of Bologna

• Ruta Liepina, European University Institute

• Monica Palmirani, University of Bologna

• Craig Pfeifer, MITRE Corporation

• Georg Rehm, DFKI

• Livio Robaldo, Swansea University

• Jaromir Savelka, Carnegie Mellon University

• Frank Schilder, Thomson Reuters

• Oanh Tran, International School, Vietnam National University, Hanoi

• Giulia Venturi, ILC-CNR

• Serena Villata, CNRS - Laboratoire d'Informatique, Signaux et Systèmes de Sophia-Antipolis

• Hannes Westermann, University of Montreal

• Radboud Winkels, University of Amsterdam