[Lingtyp] CfP 6th Workshop on Linked Data in Linguistics (LDL-2018): Towards Linguistic Data Science
christian.chiarcos at web.de
Fri Nov 3 19:59:35 UTC 2017
Apologies for cross-posting.
We cordially invite submissions to the 6th Workshop on Linked Data in
Linguistics (LDL-2018): Towards Linguistic Data Science, held in
conjunction with the 11th Language Resources and Evaluation Conference
(LREC-2018), Saturday, 12 May 2018, Miyazaki, Japan,
The Linked Data in Linguistics (LDL) workshop series has become the major
forum for presenting, discussing and the application of *Semantic Web
standards and the Linked Open Data paradigm to language resources* and will
take place again in 2018 in co-location with the 11th Language Resources
and Evaluation Conference in Miyazaki, Japan. The LDL workshop series has a
general focus on LOD-based language resources, vocabularies,
infrastructures and technologies as means for *managing, improving and
using language resources on the Web*, addressing communities as diverse as
applied linguistics, lexicography, digital humanities, natural language
processing and information technology. LDL provides the primary forum for
these communities *to present and to discuss use cases, experiences, best
practices, recommendations and technologies* of Linguistic Linked Open
Data in an interdisciplinary setting, addressing topics such as
(i) *linking language resources*: Linked Data facilitates to the
interoperability, re-usability and discoverability of language resources as
well as information integration across them.
(ii) *natural language for structured knowledge*: Ontologies and knowledge
bases in general are often created with one particular language in mind.
Their lexicalization for other natural languages is a prime directive for
emerging digital infrastructures in a globalized world.
(iii) *structured knowledge for natural language*: Natural language is in
constant development, thus inherently imprecise. Grounding natural language
text in structured knowledge (word sense disambiguation, entity linking,
semantic parsing) enables machine readability and processability by
Moreover, as technology and resources increasingly converge towards a
LOD-based ecosystem for the systematic cross-lingual discovery,
exploitation, extension, and curation of language resources, we
particularly encourage contributions focusing on the development of
*research methodologies and applications* building on the Linguistic Linked
Open Data Cloud and the existing technology and resource stack: The notion
of *Linguistic Data Science* brings together Linguistic Linked Open Data
with research questions in linguistics, methods in Natural Language
Processing and applications in Digital Humanities. The workshop will also
provide the opportunity for the *critical reflection* of Linked Open Data
techniques and their application in linguistics, natural language
processing and related fields, i.e., to express experiences, challenges,
crucial issues, missing aspects regarding the reuse, creation and
exploitation of Linguistic Linked Open Data.
Topics of Interest
We invite presentations of algorithms, methodologies, experiments, use
cases, descriptions of research projects and position papers regarding the
creation, publication or application of language resources and their
linking, as well as descriptions of such data and its uses in research
(linguistics, lexicology, Digital Humanities) and technology (natural
language processing, lexicography, localization). This includes the
(1) Building and managing linked language resources
- Vocabularies and best practices for language resources and their
- Application of LOD in language resource infrastructures.
- Metadata linking and curation for language resources on the Web.
(2) LLOD technology and methodology
- Methodologies to develop linked language resources on the Web.
- Using natural language processing to enhance Linked Open Data.
- Leveraging Linguistic Linked Open Data and Machine Learning.
- Methods for linking dictionaries across languages.
(3) LLOD applications
- Using Linked Open Data to facilitate natural language processing.
- Using Linked Open Data for quantitative and qualitative linguistic
- Linguistic Linked Open Data for Digital Humanities.
- Linking language resources and external community resources.
- Using Linked Open Data to connect lexicographic resources.
(4) Critical Reflection
- Challenges of scalability, multilinguality and interoperability in the
- Legal, social and scientific aspects of Linguistic Linked Open Data.
- LLOD revisited: Case studies, use cases, and lessons learnt.
We invite both long (8 pages and 2 pages of references, formatted according
to the LREC guidelines) and short papers (4 pages and 2 pages of
references) representing original research, innovative approaches and
resource descriptions. Short papers may also represent project
descriptions. These do not have to be implemented but discuss to what
extent and for which purposes Linguistic Linked Open Data is reused or
created. Projects that are still in their early stages and seek advice from
the broader Linguistic Linked Data community are welcome, especially if
they include underrepresented fields of study.
12 Jan 2018: submission
15 Feb 2018: notification
02 Mar 2018: camera-ready
12 May 2018: workshop, Miyazaki (Japan)
Christian Chiarcos (Goethe University Frankfurt, Germany)
John P. McCrae (National University of Ireland Galway)
Thierry Declerck (University of Saarland, Germany)
Jorge Gracia (University of Zaragoza, Spain)
Bettina Klimek (University of Leipzig, Germany)
Please get in contact via ldl2018 at linguistic-lod.org
Identify, Describe and Share your LRs !
Describing your LRs in the LRE Map is now a normal practice in the
submission procedure of LREC. To continue the efforts initiated at LREC
2014 about “Sharing LRs” (data, tools, web-services, etc.), authors will
have the possibility, when submitting a paper, to upload LRs in a special
LREC repository. This effort of sharing LRs, linked to the LRE Map for
their description, may become a new regular feature for conferences in our
field, thus contributing to creating a common repository where everyone can
deposit and share data.
As scientific work requires accurate citations of referenced work so as to
allow the community to understand the whole context and also replicate the
experiments conducted by other researchers, LREC 2018 endorses the need to
uniquely Identify LRs through the use of the International Standard
Language Resource Number (ISLRN, www.islrn.org), a Persistent Unique
Identifier to be assigned to each Language Resource. The assignment of
ISLRNs to LRs cited in LREC papers will be offered at submission time.
Eneko Agirre (University of the Basque Country, Spain)
Guadalupe Aguado-de-Cea (Universidad Politécnica de Madrid, Spain)
Núria Bel (Universitat Pompeu Fabra, Spain)
Claire Bonial (University of Colorado at Boulder, USA)
Paul Buitelaar (Insight Center for Data Analytics, National University of
Ireland Galway, Ireland)
Nicoletta Calzolari (ILC-CNR, Italy)
Steve Cassidy (Macquarie University, Australia)
Damir Cavar (Indiana University, USA)
Philipp Cimiano (University of Bielefeld, Germany)
Gerard de Melo (Rutgers University, USA)
Francesca Frontini (Université Paul Valéry, Montpellier, France)
Jeff Good (University at Buffalo, USA)
Dagmar Gromann (IIIA-CSIC, SPAIN)
Yoshihiko Hayashi (Osaka University, Japan)
Fahad Khan (ILC-CNR, Italy)
Dave Lewis (ADAPT, Ireland)
Vanessa Lopez (IBM Research, Ireland)
Elena Montiel-Ponsoda (Universidad Politécnica de Madrid, Spain)
Steve Moran (Universität Zürich, Switzerland)
Roberto Navigli (“La Sapienza” Università di Roma, Italy)
Sebastian Nordhoff (Language Science Press, Berlin, Germany)
Petya Osenova (IICT-BAS, Bulgaria)
Antonio Pareja-Lora (Universidad Complutense Madrid, Spain)
Francesca Quattri (Jiangsu University, China)
Mariano Rico (Universidad Politécnica de Madrid, Spain)
Laurent Romary (INRIA, France)
Felix Sasaki (Berlin, Germany)
Andrea Schalley (Karlstad University, Sweden)
Gilles Sérasset (University Grenoble Alpes, France)
Milena Slavcheva (JRC-Brussels, Belgium)
Armando Stellato (University of Rome, Tor Vergata, Italy)
Marieke van Erp (KNAW Humanities Cluster, the Netherlands)
Cristina Vertan (University of Hamburg, Germany)
Piek Vossen (Vrije Universiteit Amsterdam, The Netherlands)
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