[Corpora-List] Cross-lingual Pronoun Prediction Shared Task ***DEADLINE EXTENSION***

Sharid Loaiciga sharid.loaiciga at lingfil.uu.se
Sun May 28 10:01:22 CEST 2017


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DEADLINE EXTENSION =============================================================

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

Due to the multiple shared tasks organized this year (CONLL, WMT, RepEval, SemEval, CORBON, ...), our initial timeline resulted very tight for many interested participants. In this light, we have decided to extend our deadline once again.

NEW! System submission AND system papers: 9th of June NEW! Release of results: 16th June 30 June 2017 Notification of acceptance 14 July 2017 Camera-ready papers due September 2017 DiscoMT 2017 workshop in Copenhagen (in conjunction with EMNLP)

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2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction =============================================================

The cross-lingual pronoun prediction task concerns (discourse-aware) machine translation, anaphora resolution and machine learning in general.

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.

Participants are invited to submit systems for:

English-French English-German Spanish-English German-English

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

------------------------------------------------------------------------- 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: 3085 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20170528/0dc1160e/attachment.txt>



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