Appel: Rules and Human Language Technology, RuleML 2014 Special Track

Tue Mar 4 20:54:33 UTC 2014

Date: Tue, 4 Mar 2014 12:30:50 +0100
From: Lévy Francois <francois.levy at lipn.univ-paris13.fr>
Message-Id: <BC8047C3-6564-4AAB-A845-6F8B2C639F8E at lipn.univ-paris13.fr>
X-url: http://ruleml2014.vse.cz/rules-and-human-language-technology

Call for Papers: Rules and Human Language Technology

RuleML 2014 Special Track: Rules and Human Language Technology

(Whole RuleML call on http://ruleml2014.vse.cz/
rules-and-human-language-technology )
(collocated with Ecai 2014 : http://www.ecai2014.org/ruleml/ )

Over the last decade, there has been enormous growth in open, web-based
distribution of textual material from business, legal, and government
communities concerning constructs such as contracts, business processes,
legal cases, regulations, policies, legislation, health services, and
citizen information sources. Unstructured or semi-structured textual
material makes up a large portion of what is now called Big Data. In
addition, there have been dramatic improvements in the effectiveness and
accuracy of Natural Language Processing (NLP) and, more broadly, Human
Language Technologies (HLT), accompanied by a significant expansion of
the HLT community itself. In parallel, there have been substantial
developments in machine-readable, knowledge-based semantic
representations. For instance, a recent RuleML-OASIS collaboration led
to LegalRuleML, which bridges between legal sources and formal rules.

Nevertheless, there is a substantial knowledge-acquisition bottleneck in
using HLT to translate from the textual content of Big Data to
machine-readable, knowledge-based semantic representations (and from
formal representations back to text). Consequently, the research and
industrial communities cannot make full use of the abundance of
information available in Big Data to scale up such representations. By
the same token, how the representations can be applied is limited. While
there have been some efforts to address the bottleneck (e.g.  controlled
languages such as Executable English, SBVR, or ACE) and advanced parsers
with semantic translation (e.g. C&C/Boxer), much more remains to be
done. The Special Track is intended to focus attention on the issues,
provide an outlet for current work, and be a forum for the exchange of
ideas.

The Special Track is relevant to a range of communities (e.g., in
Business, Law, and Government), who are concerned with translating
between human language and formal rules. For example, in the BRMS
community, there is growing interest in acquiring and maintaining rules
extracted from textual documents such as contracts, public or internal
regulations of corporations, and policy documents. Similarly, the
requirements engineering community is interested in acquiring
requirements from texts and generating rules to check the software
behavior. The concerns of the Special Track also bear on work in
decision support and process modeling communities.

Papers of interest in the Special Track will (typically) relate to the
translation of texts that are descriptive (e.g., statements of facts and
rules on facts) or prescriptive (e.g., statements of obligations or
prohibitions in laws, regulations, or policies) to or from semantic
representations.

Topics

  * Natural language interfaces for rule languages, editors, engines,
    and use cases
  * Development of language resources, e.g. terminologies, thesauri,
    ontologies, and corpora
  * Ontologies and vocabularies for business rules
  * Information retrieval and extraction from textual corpora
  * Semantic annotation of textual corpora
  * Multilingual aspects of processing texts
  * Rule-mining techniques and applications
  * Close analysis of the alignment between linguistic expressions and
    rule formalisms.
  * Automatic Classification of documents in corpora
  * Parsing of natural language expressions into machine-readable,
    knowledge-based semantic representations
  * Generation of natural language from those representations
  * Translatability of the diverse human languages to formal rules
  * Controlled languages (e.g., Executable English, ACE, SBVR, CLCE,
    RECON) as sources, targets, or intermediaries for rule acquisition
    grounded in business, legal, or government textual corpora
  * Logical formalisms for human language representation (e.g.,
    Discourse Representation Structures, the feature structures of
    phrase structure grammars, and the defeasible deontic logic of
    LegalRuleML)
  * Epistemological and computational properties of HLT target
    formalisms
  * Metrics for capturing the correspondence between text and rules
    (e.g., notions of 'isomorphism' between legal text and rules)
  * The relationship between semantic representation and interpretation.

Organisers

Francois Levy (LIPN, University of Paris, France) and Adam Wyner
(University of Aberdeen, UK)

Important Dates for RuleML (including the special tracks)

Abstract submission: March 31, 2014
Paper submission:    April 8, 2014
Notification:        May 20, 2014
Camera ready:        June 6, 2014
RuleML 2014 dates:   August 18-20, 2014

Submission guidelines

Papers must be original contributions written in English and must be
submitted at EasyChair for the special track as:

  * Full Papers (15 pages in the proceedings)
  * Short Papers (8 pages in the proceedings)

Please upload all submissions in LNCS format. To ensure high quality,
submitted papers will be carefully peer-reviewed by 3 PC members based
on originality, significance, technical soundness, and clarity of
exposition. Accepted papers will be published in book form in the
Springer Lecture Notes in Computer Science (LNCS) series with the RuleML
main track proceedings.

Program Committee

  * Johan Bos (University of Groningen, NL)
  * Jack Conrad (Thomson Reuters, USA)
  * Enrico Francesconi (ITTIG-CNR, Florence, Italy)
  * Norbert E. Fuchs (University of Zurich, Switzerland)
  * Aldo Gangemi (LIPN, Univ. Paris 13, France)
  * Matthias Grabmair (University of Pittsburgh, USA)
  * Tobias Kuhn (Yale University, USA)
  * Yue Ma (TCS, TU-Dresden, Germany)
  * Leora Morgenstern (SAIC, Arlington, Va, USA)
  * Adeline Nazarenko (LIPN, Univ. Paris 13, France)
  * Wim Peters (University of Sheffield, UK)
  * Rolf Schwitter (Macquarie University, Australia)
  * John Sowa (VivoMind Intelligence Inc., Rockville, MD. USA)
  * Daniela Tiscornia (National Research Council, Italy)
  * Giulia Venturi (ILC-CNR, Italy)
  * Amal Zouaq (DMCS, Royal Military College of Canada, Canada)
  * Paul Fodor (Stony Brook University, USA)

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