[Corpora-List] Cross-lingual Pronoun Prediction ****Deadline Extension****

Sharid Loaiciga sharid.loaiciga at lingfil.uu.se
Fri Apr 28 09:58:25 CEST 2017


********************************************* ****************Deadline Extension************** *********************************************

========================================= WMT 2016 Shared Task on Cross-lingual Pronoun Prediction =========================================

Website: https://www.idiap.ch/workshop/DiscoMT/shared-task

At DiscoMT 2017 (collocated with EMNLP 2017)

We are pleased to announce an exciting cross-lingual pronoun prediction task for people interested in (discourse-aware) machine translation, anaphora resolution and machine learning in general.

Participants are invited to submit systems for: English-French English-German Spanish-English German-English

In the cross-lingual pronoun prediction task, participants are asked to predict a target-language pronoun given a source-language pronoun in the context of a sentence. For example, in the English-French sub-task, to predict the correct translation of "it" or "they" into French (ce, elle, elles, il, ils, cela, on, OTHER). You may use any type of information that can be extracted from the documents. We provide training and development data and a simple baseline system using an N-gram language model.

More details can be found on our website: https://www.idiap.ch/workshop/DiscoMT/shared-task

Feel free to ask any questions you may have about the shared task! https://groups.google.com/forum/#!forum/discomt2017-cross-lingual-pronoun-prediction-shared-task

New schedule:

9 May 2017 Release of test data 23 May 2017 System submission deadline 30 May 2017 Release of results 9 June 2017 System paper submission deadline 30 June 2017 Notification of acceptance 14 July 2017 Camera-ready papers due September 2017 DiscoMT 2017 workshop in Copenhagen (in conjunction with EMNLP)

------------------------------------------------------------------------- Acknowledgements: The organisation of this task has received support from the following project: Discourse-Oriented Statistical Machine Translation funded by the Swedish Research Council (2012-916) ------------------------------------------------------------------------- -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 3414 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20170428/00a866c1/attachment.txt>



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