[Elsnet-list] Second CFPs: Workshop Adaptation of Language Resources and Technology to New Domains

Kiril Simov kivs at bultreebank.org
Tue May 5 16:54:28 CEST 2009

Adaptation of Language Resources and Technology to New Domains

RANLP 2009 Workshop


It is widely acknowledged that despite the great advances in
Computational Linguistics nowadays, the creation of new
Language Resources (LR) and Language Technology (LT) for a
new domain or task is still quite expensive and
time-consuming. At the same time there are already a lot of
varieties of LR and LT, developed for various languages and
purposes. What happens when new tasks come? Do we have to
develop new resources and technology from the beginning, or
can we re-use or adapt the existent ones? Last, but not
least alternative is to combine both strategies depending on
the task. The first option seems reasonable when richer and
larger data is needed for the new applications. The second
option is justified only if such a resource or technology
does not exist at all, or some new approach is applied. The
third one is the ever 'compromising', but also very
realistic option.
As the machine learning techniques have matured enough to
successfully support real applications within various
domains, a new bottleneck became the requirement for large
and adequate training data for input. Thus, the NLP
community faced the question of the relevant LR and LT
adaptation. It concerns the operability between general
domain NLP toolkits and specific domain tasks with respect
to terminology, language, structure, steps of preprocessing
Thus, the Workshop is devoted to various methods for
transferring the linguistic knowledge and supportive
technology from the existing language resources in one
domain into a different one.


- parameters of adaptivity and re-usability of LR and LT
- methods for adaptation of existing NLP resources to specific tasks
- domain specific requirements to the LR and LT
- general domain vs. specific domain processing
- profiling LR
- extrapolation of richer annotations to large data
- evaluation of adapted LR and LT


Núria Bel, Pompeu Fabra University
Erhard Hinrichs, Tuebingen University (co-chair)
Petya Osenova, Bulgarian Academy of Sciences and Sofia University
Kiril Simov, Bulgarian Academy of Sciences (co-chair)

Invited speaker

Jun'ichi Tsujii, University of Tokyo and University of Manchester - NacTeM

Submission details

Authors are invited to submit an extended abstract up to 800
words. Abstracts should describe existing research connected
to the topics of the workshop. The following formats are
accepted: PDF, PS, MS Word, ASCII text. Each submission
should provide the following information: title; author(s);
affiliation(s); and contact author's e-mail address, postal

The abstracts should be sent electronically to:
Petya Osenova
Email: petya at bultreebank.org
by the deadline listed below. The submissions will be
reviewed by the workshop's programme committee.

The accepted papers will appear in the workshop proceedings.
The final paper should not exceed 15 A4 pages formatted
according RANLP09 guidelines

Important Dates

Deadline for abstract submission:   7th June 2009
Notification of acceptance              7th July 2009
Final version of the papers              23rd August 2004

Program Committee

Núria Bel, Pompeu Fabra University
Gosse Bouma, Groningen University
António Branco, Lisbon University
Walter Daelemans, Antwerp University
Markus Dickinson, Indiana University
Erhard Hinrichs, Tuebingen University
Josef van Genabith, Dublin City University
Iryna Gurevych, Technische Universität Darmstadt - UKP Lab
Atanas Kiryakov, Ontotext OOD
Vladislav Kubon, Charles University
Sandra Kuebler, Indiana University
Lothar Lemnitzer, DWDS, Berlin-Brandenburgische Akademie der Wissenschaften
Bernardo Magnini, FBK
Detmar Meurers, Tuebingen University
Paola Monachesi, Utrecht University
Preslav Nakov, National University of Singapore
John Nerbonne, Groningen University
Petya Osenova, Bulgarian Academy of Sciences and Sofia University
Gabor Proszeky, MophoLogic
Adam Przepiorkowski, Polish Academy of Sciences
Marta Sabou, Open University - UK
Kiril Simov, Bulgarian Academy of Sciences
Cristina Vertan, Hamburg University 

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