Posts Tagged ‘Natural language processing and law’

Call for Papers: AICOL 2013: Workshop on AI Approaches to the Complexity of Legal Systems

February 9, 2013

A call for papers — with abstract submission deadline of 28 February 2013 and full paper submission deadline of 15 May 2013 — has been issued for AICOL 2013: Workshop on AI Approaches to the Complexity of Legal Systems, to be held at a date to be determined, between 21 and 27 July 2013, in Belo Horizonte, Brazil.

The workshop is being collocated with XXVI. World Congress of Philosophy of Law and Social Philosophy.

Papers for AICOL 2013 are invited on the following topics:

  • Law and Science
  • Knowledge Management
  • Law and Cognitive Science
  • Cognitive schemas
  • Law and Complexity Theory
  • Law and Robotics
  • Complex Systems
  • Law and Mathematics
  • Legal Theory
  • Legal Graphic Representation
  • Legal Culture
  • Game Theory
  • Computer Ethics
  • Formalization of Legal Systems and Norms
  • Artificial Societies
  • Rules and Standards
  • Argumentative Frameworks
  • Agreement technologies
  • Legal Ontologies
  • Electronic Institutions
  • Governance
  • Legal Concepts
  • Legal Information Retrieval
  • Legal Thesauri
  • Online Dispute Resolution
  • Taxonomies
  • Trends in e-Discovery, e-Courts, e-Administration
  • Natural Language Processing (NLP)
  • Legal Knowledge Acquisition
  • Users’ studies
  • Legal Knowledge Representation

For more details, please see the call.

HT Professor Dr. Monica Palmirani

Wyner et al.: An Empirical Approach to the Semantic Representation of Laws

October 22, 2012

Dr. Adam Wyner of the University of Liverpool Department of Computer Science, and colleagues, will present a paper entitled An Empirical Approach to the Semantic Representation of Laws, at JURIX 2012: International Conference on Legal Knowledge and Information Systems, being held 17-19 December 2012 at the Leibniz Center for Law, University of Amsterdam.

Here is the abstract:

To make legal texts machine processable, the texts may be represented as linked documents, semantically tagged text, or translated to formal representations that can be automatically reasoned with. The paper considers the latter, which is key to testing consistency of laws, drawing inferences, and providing explanations relative to input. To translate laws to a form that can be reasoned with by a computer, sentences must be parsed and formally represented. The paper presents the state-of-the-art in automatic translation of law to a machine readable formal representation, provides corpora, outlines some key problems, and proposes tasks to address the problems.

This paper was produced as part of Project IMPACT.

HT Dr. Adam Wyner.

Oldfather et al. on Automated Content Analysis, Court Opinions, and Legal Scholarly Methodology

September 8, 2012

Professor Chad M. Oldfather of Marquette University School of Law, Professor Dr. Joseph P. Bockhorst of the University of Wisconsin Madison Department of Electrical Engineering and Computer Science, and Brian P. Dimmer, Esq., have published Triangulating Judicial Responsiveness: Automated Content Analysis, Judicial Opinions, and the Methodology of Legal Scholarship, Florida Law Review, 64, 1189-1242 (2012).

Here is the abstract:

The increasing availability of digital versions of court documents, coupled with increases in the power and sophistication of computational methods of textual analysis, promises to enable both the creation of new avenues of scholarly inquiry and the refinement of old ones. This Article advances that project in three respects. First, it examines the potential for automated content analysis to mitigate one of the methodological problems that afflicts both content analysis and traditional legal scholarship — their acceptance on faith of the proposition that judicial opinions accurately report information about the cases they resolve and courts’ decisional processes. Because automated methods can quickly process large amounts of text, they allow for assessment of the correspondence between opinions and other documents in the case, thereby providing a window into how closely opinions track the information provided by the litigants. Second, it explores one such novel measure — the responsiveness of opinions to briefs — in terms of its connection to both adjudicative theory and existing scholarship on the behavior of courts and judges. Finally, it reports our efforts to test the viability of automated methods for assessing responsiveness on a sample of briefs and opinions from the United States Court of Appeals for the First Circuit. Though we are focused primarily on validating our methodology, rather than on the results it generates, our initial investigation confirms that even basic approaches to automated content analysis provide useful information about responsiveness, and generates intriguing results that suggest avenues for further study.

Lesmo, Mazzei, Palmirani, and Radicioni on an NLP System for Extracting Legal Modificatory Provisions

August 17, 2012

Professor Dr. Monica Palmirani of Università di Bologna Dipartimento di Scienze Giuridiche «Antonio Cicu» and CIRSFID, and Professor Dr. Leonardo Lesmo, Dr. Alessandro Mazzei, and Dr. Daniele P. Radicioni, all of Universita’ di Torino Dipartimento di Informatica, have published TULSI: an NLP system for extracting legal modificatory provisions, forthcoming in Artificial Intelligence and Law.

Here is the abstract:

In this work we present the TULSI system (so named after Turin University Legal Semantic Interpreter), a system to produce automatic annotations of normative documents through the extraction of modificatory provisions. TULSI relies on a deep syntactic analysis and a shallow semantic interpreter that are illustrated in detail. We report the results of an experimental evaluation of the system and discuss them, also suggesting future directions for further improvement.

Wyner and Peters on Semantic Annotations for Legal Text Processing using GATE Teamware

May 31, 2012

Dr. Adam Wyner of the University of Liverpool Department of Computer Science and Dr. Wim Peters of the University of Sheffield Department of Computer Science, have published Semantic Annotations for Legal Text Processing using GATE Teamware, in LREC 2012 Conference Proceedings: Semantic Processing of Legal Texts (SPLeT-2012) Workshop, pp. 34-36.

Here is the abstract:

Large corpora of legal texts are increasing available in the public domain. To make them amenable for automated text processing, various sorts of annotations must be added. We consider semantic annotations bearing on the content of the texts – legal rules, case factors, and case decision elements. Adding annotations and developing gold standard corpora (to verify rule-based or machine learning algorithms) is costly in terms of time, expertise, and cost. To make the processes efficient, we propose several instances of GATE’s Teamware to support annotation tasks for legal rules, case factors, and case decision elements. We engage annotation volunteers (law school students and legal professionals). The reports on the tasks are to be presented at the workshop.

For more information, please see Dr. Wyner’s post, Crowdsourced Legal Case Annotation.

Bacci, Francesconi, and Sagri: A Rule-based Parsing Approach for Detecting Case Law References in Italian Court Decisions

May 30, 2012

Lorenzo Bacci, Professor Dr. Enrico Francesconi, and Maria Teresa Sagri, all of ITTIG/CNR, have published A Rule-based Parsing Approach for Detecting Case Law References in Italian Court Decisions, in LREC 2012 Conference Proceedings: Semantic Processing of Legal Texts (SPLeT-2012) Workshop, pp. 27-33.

Here is the abstract:

In this paper a procedure able to detect legal references in Italian court decisions, providing automatic document hyperlinking is described. It is based on the adoption of a naming convention for case law documents, based on the metadata typically used in citations. The parsing strategy in particular is based on regular expressions, able to extract, from legal citations, the metadata used in the adopted naming convention. In particular the parser is able to implement both the ECLI and the LEX naming conventions for case law material.

Boella et al. on Using Legal Ontology to Improve Classification in the Eunomos Legal Document and Knowledge Management System

May 29, 2012

Professor Dr. Guido Boella of Università degli Studi di Torino Dipartimento di Informatica, and colleagues, have published Using Legal Ontology to Improve Classification in the Eunomos Legal Document and Knowledge Management System, in LREC 2012 Conference Proceedings: Semantic Processing of Legal Texts (SPLeT-2012) Workshop, pp. 13-20.

Here is the abstract:

We focus on the classification of descriptions of legal obligations in the Legal Taxonomy Syllabus. We compare the results of classification using increasing levels of semantic information. Firstly, we use the text of the concept description, analysed via the TULE syntactic parser, to disambiguate syntactically and select informative nouns. Secondly, we add as additional features for the classifier the concepts (via their ontological ID) which have been semi-automatically linked to the text by knowledge engineers in order to disambiguate the meaning of relevant phrases which are associated to concepts in the ontology. Thirdly, we consider concepts related to the prescriptions by relations such as deontological clause and sanction.

Venturi on the Design and Development of TEMIS: A Syntactically and Semantically Annotated Corpus of Italian Legislative Texts

May 28, 2012

Giulia Venturi of l’Istituto di Linguistica Computazionale del CNR di Pisa (ILC-CNR) has published Design and Development of TEMIS: a Syntactically and Semantically Annotated Corpus of Italian Legislative Texts, in LREC 2012 Conference Proceedings: Semantic Processing of Legal Texts (SPLeT-2012) Workshop, pp. 1-12.

Here is the abstract:

Methodological issues concerning the design and the development of TEMIS, a syntactically and semantically annotated corpus of Italian legislative texts, are presented and discussed in the paper. TEMIS is a heterogeneous collection of texts exemplifying different sub–varieties of Italian legal language, i.e. European, national and local texts. The whole corpus has been dependency annotated and a subset has been enriched with frame–based information by customizing the formalism of the FrameNet project. In both cases, a number of domain–specific extensions of the annotation criteria developed for the general language has been foreseen. The interest in building such a corpus stems from the increasing need for annotated collections of domain–specific texts recognized by both the Artificial Intelligence and Law (AI & Law) community and the Natural Language Processing (NLP) one. In two research communities the benefits of having a resource where both domain–specific content and its underlying linguistic structure are made explicit and aligned are widely acknowledged. To the author knowledge, this is the first annotated corpus of legal texts overtly devoted to be used for legal text processing applications based on NLP tools.

Call for Papers: Argumentation 2012

May 2, 2012

A call for papers — with submission deadline of 7 September 2012 — has been issued for Argumentation 2012: International Conference on Alternative Methods of Argumentation in Law, to be held 26 October 2012, at the Masaryk University Faculty of Law, in Brno, Czech Republic.

According to the conference announcement:

The conference consists of four workshops/streams, each specialized in a specific and unique method of studying legal argumentation:

  • Formal Methods in Legal Reasoning
  • Law and Literature
  • Law and Language
  • Visualization of Law

Papers are invited on the following topics:

  • Formal and quantitative models of legal reasoning
  • Logical tools in designing legal arguments
  • Argumentation schemes, models of legal inference
  • Mathematical and computational tools for modelling arguments and reasoning
  • Evidence, burdens of persuasion and proof
  • Interpretation of literature in jurisprudence
  • Artistic description of contemporary law
  • Exploitation of literature in legal education
  • Literature in legal argumentation
  • Literature in rationalization of law
  • Use of literature in court decisions
  • Propaganda in service of law and jurisprudence
  • Speech and register analysis
  • Symbols and communication in law
  • IT, language and law
  • Literary analysis of law
  • Natural language
  • Analysis of legal narratives
  • Rhetorical devices in legal reasoning
  • Media studies
  • Multisensory law
  • Visualisation in legal education
  • Visualising legal reasoning
  • Argument mapping
  • Structuring the complexity of law via visualisation
  • Visual literacy in law
  • Pictorial law

For more information, please see the call.

HT Jurix.


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