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/[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.
Organizers
Francois Levy Francois.Levy@xxxxxxxxxxxxxxxxxxxx (LIPN, University of Paris,
France) and Adam Wyner adam@xxxxxxxxxx (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
http://www.easychair.org/conferences/?conf=ruleml2014[http://www.easychair.org/conferences/?conf=ruleml2014]
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
http://www.springer.de/comp/lncs/authors.html[http://www.springer.de/comp/lncs/authors.html].
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
http://www.springer.com/lncs[http://www.springer.com/lncs] with the RuleML
main track proceedings.
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