[Corpora-List] First Shared Task on Dependency Parsing of Legal Texts in the framework of SPLeT-2012

[Simonetta Montemagni]

[Apologies for multiple copies]


Dear Colleagues,

as researcher interested in Natural Language Processing, I invite you to 
consider the

**** First Shared Task on Dependency Parsing of Legal Texts ****

organised in the framework of the LREC 2012 Workshop on "Semantic 
Processing of Legal Texts (SPLeT-2012)"

27th May 2012, Istanbul, Turkey


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First Shared Task on Dependency Parsing of Legal Texts

Call for Interest

We are pleased to announce the multilingual shared task on dependency 
parsing of legal texts which will be organized for the first time as 
part of the “Semantic Processing of Legal Texts” Workshop (SPLeT-2012, 
27 May 2012, 
http://www.lrec-conf.org/lrec2012/IMG/ws/programme/SPLET2012_Call_for_papers.pdf) 
to be held in conjunction of the Eighth International Conference on 
Language Resources and Evaluation (LREC-2012), Istanbul.

Dependency parsing is a prerequisite for any advanced IE application. To 
our knowledge, so far very few attempts have been carried out to 
quantify the performance of dependency parsers on legal texts (e.g. law 
or case law texts). Among the reasons behind this lack of attention 
there is the unavailability of gold corpora of legal texts with respect 
to which such an evaluation could be carried out.

Therefore, the goal of the shared task at SPLeT 2012 is to provide 
common and consistent task definitions and evaluation criteria for 
dependency parsing of legal texts in order to identify specific 
challenges posed by the analysis of this type of texts, to obtain a 
clearer idea of the current state-of-the-art, and to develop and share 
multilingual domain specific resources.

The languages dealt with will be English and Italian. Participants are 
expected to submit parsing results for at least one of the two languages 
involved, but they are strongly encouraged to submit results for both 
languages.

The task will be organized into two subtasks:
1) a basic subtask (mandatory) focusing on dependency parsing of legal 
texts, aimed at testing the performance of general parsing systems on 
legal texts;
2) a more challenging subtask (optional) focusing on the adaptation of 
general purpose dependency parsers to the legal domain, aimed at 
investigating methods and techniques for automatically extracting 
knowledge from large unlabelled target domain corpora to improve the 
performance of general parsing systems on legal texts.

The latter subtask is optional, but all participants are strongly 
encouraged to perform both subtasks.

Important dates for the SPLeT shared task are as follows:
- Registration of participants: by January 30th, 2012
- Release of training (and development) data: February 1st, 2012
- Release of test data: March 1st, 2012
- Submission of test run(s): March 8th, 2012
- Assessment returned to participants: March 15th, 2012
- Submission of papers: April 6th, 2012
- SPLeT workshop: May 27th, 2012

In order to receive future calls and other information about the SPLeT 
shared task, participants should register their intent to participate in 
either or both of the two subtasks (and for which languages) by sending 
an e-mail to the following address: lrec_legalWS_ST at ilc.cnr.it.

The website for the SPLeT shared task 2012 will be 
http://poesix1.ilc.cnr.it/splet_shared_task/. This site will be updated 
continually, so please make sure to check it out from time to time.

Questions about the SPLeT shared task 2012 can be sent to 
lrec_legalWS_ST at ilc.cnr.it.

SPLeT shared task Organizing Committee:
- Felice Dell’Orletta (ILC-CNR, Pisa)
- Simone Marchi (ILC-CNR, Pisa)
- Simonetta Montemagni (ILC-CNR, Pisa)
- Barbara Plank (DISI, University of Trento, Italy)
- Giulia Venturi (Scuola Superiore S.Anna, Pisa, Italy)

-- 

Simonetta Montemagni
Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC) - CNR
Area della Ricerca di Pisa
Via Moruzzi 1, 56124 Pisa, ITALY
e-mail simonetta.montemagni at ilc.cnr.it
direct tel. no +39 050 3152850
fax no. +39 050 3152839


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