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IRIS è l'Anagrafe della ricerca dell'Università degli Studi di Trento, e ha lo scopo di raccogliere, documentare, conservare e diffondere, anche ad accesso aperto, la produzione scientifica degli autori afferenti all'Università degli Studi di Trento.

The CoNLL-2012 shared task involved pre- dicting coreference in English, Chinese, and Arabic, using the final version, v5.0, of the OntoNotes corpus. It was a follow-on to the English-only task organized in 2011. Un- til the creation of the OntoNotes corpus, re- sources in this sub-field of language process- ing were limited to noun phrase coreference, often on a restricted set of entities, such as the ACE entities. OntoNotes provides a large- scale corpus of general anaphoric coreference not restricted to noun phrases or to a spec- ified set of entity types, and covers multi- ple languages. OntoNotes also provides ad- ditional layers of integrated annotation, cap- turing additional shallow semantic structure. This paper describes the OntoNotes annota- tion (coreference and other layers) and then describes the parameters of the shared task in- cluding the format, pre-processing informa- tion, evaluation criteria, and presents and dis- cusses the results achieved by the participat- ing systems. The task of coreference has had a complex evaluation history. Potentially many evaluation conditions, have, in the past, made it difficult to judge the improvement in new algorithms over previously reported re- sults. Having a standard test set and stan- dard evaluation parameters, all based on a re- source that provides multiple integrated anno- tation layers (syntactic parses, semantic roles, word senses, named entities and coreference) and in multiple languages could support joint modeling and help ground and energize on- going research in the task of entity and event coreference.

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