[Corpora-List] 2nd CFP PAN at FIRE-2013: Cross Language !ndian News Story Search (CL!NSS)

[Parth Gupta]

Dear all,

As you probably know, a related PAN activity is also organized at FIRE  
(Forum for Information Retrieval Evaluation) on cross-language  
similarity search in journalism text reuse. The task is to link the  
news stories covering the same event across the languages (English and  
Hindi) as a future goal to find the derived/parallel content among  
them. The training corpus is already available. Please find CFP  
enclosed and consider your participation.

Regards,
Parth Gupta,
On behalf of PAN at FIRE Organizing committee,
http://www.dsic.upv.es/grupos/nle/clinss.html


Apologies for cross-posting

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2nd Call for Participation
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PAN Track on
Cross-Language !ndian News Story Search (CL!NSS)

held in conjunction with the FIRE 2013 Forum for Information Retrieval  
Evaluation
4 - 6 December 2013, New Delhi, India
http://www.dsic.upv.es/grupos/nle/clinss.html

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This edition of CL!NSS focuses on journalistic text re-use as previous  
year. News agencies are a prolific source of text on the Web and a  
valuable source of text in multiple languages. News stories generated  
by different authors, whether independently or derived from another  
story, typically exist as separate entities and consequently there is  
a need to link them.

Linking news stories covering the same events written in different  
languages offers a number of benefits. For example, in a multilingual  
environment, such as India, where the same news story is covered in  
multiple languages, a reader might want to refer to the local language  
version of a news story. News stories covering the same event(s),  
published in different languages, may also be rich sources of both  
parallel and comparable text, for example, parallel fragments in the  
news story, e.g. direct quotes or translation equivalents; comparable  
fragments, e.g. paraphrases. Therefore identification of similar news  
stories written in multiple languages offers a valuable multilingual  
resource. In the case of Indian languages there exist limited language  
resources for NLP and IR tasks. For instance, identifying comparable  
and parallel documents on the web would offer a potential (and  
abundant) source for deriving bilingual dictionaries and training  
statistical MT systems (Munteanu & Marcu, 2005; Barker & Gaizauskas,  
2012).

In this edition, the aim is to identify the same story written across  
languages (English and Hindi) - a problem of cross-language news story  
detection. The task will involve identifying and linking news stories  
covering the same event in Hindi for the given English language news  
story.

We invite researchers and practitioners from all fields to participate.

References
1. Dragos Munteanu and Daniel Marcu (2005). Improving Machine  
Translation Performance by Exploiting Comparable Corpora.  
Computational Linguistics, 31 (4), pp. 477-504, December
2. Emma Barker and Robert Gaizauskas (2012). Assessing the  
Comparability of News Texts. In Proceedings of the Eighth  
International Conference on Language Resources and Evaluation (LREC'12).

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Important Dates
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6 May, 2013	Release of training corpus (training period starts)
1 Sept, 2013	Release of test corpus
20 Sept, 2013	Submission of runs
1 Nov, 2013	Release of qrels (result notification)
15 Nov, 2013	Working notes due


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Task Coordinators
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Parth Gupta, Paolo Rosso
NLE Lab @ Universitat Politècnica de València, Spain


Paul Clough, Mark Stevenson
IR &NLP Groups @ University of Sheffield, UK


Rafael E. Banchs
HLT, Institute for Infocomm Research, Singapore


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Contact
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E-mail: clinss at dsic.upv.es
Track Web page: http://www.dsic.upv.es/grupos/nle/clinss.html


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