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Subject: [ E-Conf ] Workshop on NLP&LOD, Bulgaria
From: <petyaosenova_(on)_hotmail.com>
Date received: 18 Jun 2013
Deadline: -
Start date: 12 Sep 2013

= apologies for multiple postings =


WORKSHOP on Natural Language Processing and Linked Open Data
(NLP&LOD) (http://www.bultreebank.org/NLP&LOD/)

Collocated with RANLP 2013 (http://www.lml.bas.bg/ranlp2013/)

12/13 September 2013

Hissar, Bulgaria



In the last decade, the mainstream research in Natural Language
Processing (NLP) both - in academic and industrial contexts - has
focused primarily on statistical approaches, which have proved
very competitive in view of textual data becoming vast in
quantity, web-based in availability, highly semantic in
representation, and dynamic in nature.

A somewhat less mainstream but still quite visible trend has
focused on knowledge-rich approaches for NLP; this trend has
typically complemented statistical approaches. Examples include
using domain knowledge to enhance learning for high-quality
automatic NLP in a given domain, adaptation of statistical
modules to knowledge-rich structures, and hybrid mechanisms for
language analysis and generation.

The Linked Open Data (LOD), understood as published structured
data, which is interlinked and which builds upon standard Web
technologies, such as HTTP and URIs, as well as on RDF-presented
world facts datasets in various domains, has become a necessary
component within all modern NLP-related tasks and applications
since it provides large quantities of useful knowledge about
people, facts, organizations, events, etc.

In a long-term development, we might expect that richer world
knowledge would be available even beyond the current Linked Open
Data (LOD) with respect to larger structured and interconnected
data. This would include semantics that are richer in world facts
and dynamic conceptual knowledge, on the one hand. On the other
hand, the trends in NLP tools development show a strong movement
from knowledge-poor towards knowledge-rich and hybrid language
processing using deep grammars, deep language resources and
handling big knowledge bases, such as DBPedia, FreeBase,
GeoNames, FOAF, etc.

In this workshop, we build on the complementarity of the two
pillars of Natural Language Processing - symbolic and
probabilistic, further reinforced by exploring the recent
advances in the area of Linked Open Data (LOD). Many contemporary
applications rely on the mapping of big amounts of texts to world
fact databases and ontologies. They also rely on explicating the
various important relations among entities and events depending
on the specific task and domain for research and industrial
usage. Last, but not least, there exist semantic repositories and
management systems, such as OWLIM
(http://www.ontotext.com/owlim), that are highly scalable and
support inference within big data.

The workshop aims at gathering NLP researchers and developers,
interested in hybrid NLP methods and enhancing its connections to



- NLP processing for LOD
- enhancing NLP applications with LOD
- information extraction from LOD using NLP techniques
- manipulating LOD (cleaning, adding information, deleting
  information, reconstructing facts) with NLP techniques
- LOD as a corpus
- mapping LOD to common sense ontologies and language data
- storing LOD in RDF bases
- methodological and theoretical approaches to LOD
- case studies and/or real applications, based on LOD in NLP
- other issues involving NLP and LOD



Submission deadline: 5 July 2013 Notification of acceptance: 2
August 2013 Camera-ready copies due: 16 August 2013 Workshop
date: 12/13 September 2013



Multiple submission policy: We welcome papers that are under
review for other venues, but, in the event of multiple
acceptances, authors are requested to notify us and choose which
meeting to present and publish the work at as soon as possible -
we cannot accept for publication or presentation work that will
be (or has been) published elsewhere.

Reviewing: Reviewing will be blind. No information identifying
the authors should be in the paper: this includes not only the
authors' names and affiliations, but also self-references that
reveal authors' identities; for example, "We have previously
shown (Smith 1999)" should be changed to "Smith (1999) has
previously shown".

Paper length and presentation: We invite long (8) and short (4)
papers. Accepted short papers will be presented either as short
oral presentations or as posters.

Submission format: Authors should follow the RANLP'2013
submission format.

The submissions should be uploaded via START system:


Invited speakers: TBA



Petya Osenova, Sofia University, Bulgaria Kiril Simov, Bulgarian
Academy of Sciences, Bulgaria Georgi Georgiev, OntoText Lab,
Bulgaria Preslav Nakov, Qatar Computing Research Institute, Qatar
Foundation, Qatar



Eneko Agirre, University of the Basque Country, Spain Isabelle
Augenstein, Sheffield University, UK Guido Boella, Università di
Torino, Italy Kalina Boncheva, Sheffield University, UK António
Branco, University of Lisbon, Portugal Nicoletta Calzolari,
Istituto di Linguistica Computazionale, Italy Thierry Declerck,
DFKI, Germany Georgi Dimitroff, Germany Kuzman Ganchev, Google,
the USA Valia Kordoni, Humboldt University in Berlin, Germany
Jarred McGinnis, King's College London, UK Pavel Mihajlov,
Ontotext AD, Bulgaria Maciej Piasecki, Wroclaw University of
Technology, Poland Laura Tolosi, Ontotext AD, Bulgaria Gertjan
van Noord, University of Groningen, the Netherlands Piek Vossen,
Vrije Universiteit Amsterdam, The Netherlands

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