[Fwd: 18.869, Confs: Computational Ling,Dravidian Lang, Indo-Iranian Lang/India]
John Peterson
jpeterso at UNI-OSNABRUECK.DE
Fri Mar 23 09:51:26 UTC 2007
VYAKARAN: South Asian Languages and Linguistics Net
Editors: Tej K. Bhatia, Syracuse University, New York
John Peterson, University of Osnabrueck, Germany
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John
---------------------- Ursprüngliche Nachricht ----------------------
Betreff: 18.869, Confs: Computational Ling,Dravidian Lang,Indo-Iranian
Lang/India Von: "LINGUIST Network" <linguist at LINGUISTLIST.ORG>
Datum: Don, 22.03.2007, 21:11
An: LINGUIST at LISTSERV.LINGUISTLIST.ORG
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Thu, 22 Mar 2007 16:03:36
From: Anil Kumar Singh < anil at research.iiit.net >
Subject: Named Entities Contest for South Asian Languages
Named Entities Contest for South Asian Languages
Short Title: NLPAI-MLContest
Date: 07-Jul-2007 - 07-Jul-2007
Location: Hyderabad, A.P., India
Contact: Anil Kumar Singh
Contact Email: anil at research.iiit.net
Meeting URL: http://ltrc.iiit.net/nlpai_contest07/
Linguistic Field(s): Computational Linguistics
Language Family(ies): Dravidian; Indo-Iranian
Meeting Description:
Machine learning techniques are now an integral part of most Natural
Language Processing (NLP) systems. NLPAI Machine Learning Contest focuses
on application of such techniques for one major NLP problem every year.
This time the contest topic is Named Entity Recognition for South Asian
languages.
NLPAI Machine Learning Contest 2007
Host: IIIT, Hyderabad, India
Shared Task : Named Entity Recognition (For South Asian Languages)
Competition
The contest is open for systems which can automatically annotate text with
named entities for South Asian languages. As part of the contest, the
participants will be provided with named entity annotated data in some
South Asian languages. Initial data will be made available to the
contestants to improve and refine their systems. For the final contest, a
new data set will be provided. Selected contestants will be invited to
present their techniques and results at a workshop.
The contestants can (optionally) annotate new data with the given tag set
and submit for the contest. Those who provide such data will receive more
data for training their systems than the other contestants.
There will be two separate tracks:
1. Closed Track (track-I): Contestants can only use the resources allowed
as mentioned below
2. Open Track (track-II): Contestants can also present the results
obtained with any other resources (or without any resources), in addition
to the results for the shared task for track-I
Resources
- Available implementations of machine learning techniques
- Annotated data provided for the task
- Extra annotated data submitted the participants will be available to all
the participants who submit such data
Certificates and Prizes
The three best systems would be given certificates and cash awards.
1st prize: Rs. 7,000
2nd prize: Rs. 4,000
3rd prize: Rs. 2,500
The shortlisted systems would be invited to present their systems at the
workshop (July, 2007).
Important Dates
Announcement of the contest: 20 March
Registration for the contest closes: 15 April
Release of initial annotated data (training and development): 20 April
Annotated data submission by participants (optional): 15 May
Trial submission based on training and development data (for feedback):
15 May
Release of larger amount of data (only to those contestants who submit
annotated data):
1 June
The first round of the contest (submission for review): 10 June
Submission of write-ups (on approach used): 15 June
Notification of acceptance: 25 June
The final round (submission for presentation) and the workshop: 7 July
Contest Website
http://ltrc.iiit.net/nlpai_contest07/
A half-day tutorial will be conducted on 7 April at IIIT, Hyderabad, India
to provide some guidance about the task, the required tools and the
resources to be used.
Event Coordinator
Anil Kumar Singh
Language Technologies Research Centre
International Institute of Information Technology
Hyderabad, India
--
John Peterson
FB 7, Sprachwissenschaft
Universität Osnabrück
D-49069 Osnabrück
Germany
Telephone: (+49) (0)541-969 4252
Telefax: (+49) (0)541-969 4256
Homepage: http://www.SouthAsiaBibliography.de/
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