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Conference Information

Full Title: Shared Task on Projection-Based Coreference Resolution

Short Title: CORBON Shared Task
Location: Valencia, Spain
Start Date: 03-Apr-2017 - 04-Apr-2017
Contact: Yulia Grishina
Meeting Email: click here to access email
Meeting URL:
Meeting Description: This shared task will be a part of the CORBON workshop, co-located with EACL 2017.

The CORBON workshop will focus on:

- Coreference resolution for less-researched languages (e.g., annotation strategies, resolution modules and formal evaluation)
- Evaluation of influence of language-specific properties such as lack of articles, quasi-anaphora, ellipsis or complexity of reflexive pronouns to coreference resolution
- Representation of coreferential relations other than identity coreference (e.g., bridging references, reference to abstract entities, etc.)
- Investigation of difficult cases of anaphora and coreference and their resolution by resorting to e.g. discourse-based and pragmatic levels
- Coreference resolution in noisy data (e.g. in speech and social networks)
- New applications of coreference resolution.

The shared task for the conference focuses on similar areas. Previous shared tasks on coreference resolution (e.g., the SemEval 2010 shared task Coreference Resolution in Multiple Languages, the CoNLL 2011 and CoNLL 2012 shared tasks) operated in a setting where a large amount of training data was provided to train coreference resolvers in a fully supervised manner. Our shared task has a different goal: we are primarily interested in a low-resource setting. In particular, we seek to investigate how well one can build a coreference resolver for a language for which there is no coreference-annotated data available for training.

With a rising interest in annotation projection, we hereby offer a projection-based task which will facilitate the application of existing coreference resolution algorithms to new languages. We believe that with this exciting setting, the shared task can help promote the development of coreference technologies that are applicable to a larger number of natural languages than is currently possible.

This year we will focus on two languages — German and Russian. To mimic a low-resource setting, no German or Russian coreference-annotated data will be provided. Rather, to facilitate system development, the shared task participants will be provided two versions of an English-German-Russian parallel corpus: an unlabelled version and a labelled version. The labelled version has the English side of the parallel corpus automatically coreference-labelled using the Berkeley coreference resolver, which was trained on the English OntoNotes corpus.

More information on the Shared Task on Projection-Based Coreference Resolution can be found at .
Linguistic Subfield: Computational Linguistics
LL Issue: 27.4915

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