Iris Hendrickx

TL;DR: This paper defines the task, describes the training and test data and the process of their creation, lists the participating systems (10 teams, 28 runs), and discusses their results.

TL;DR: This article presented a brief overview of the main challenges in the extraction of semantic relations from English text, and discuss the shortcomings of previous data sets and shared tasks, and introduced a new task, which will be part of SemEval-2010: multi-way classification of mutually exclusive semantic relations between pairs of common nominals.

TL;DR: It is demonstrated that optimization per word-expert leads to an overall significant improvement in the generalization accuracies of the produced WSD systems.

TL;DR: SemEval-2013 Task 4: paraphrase capture some of the meaning of English noun compounds via paraphrasing as discussed by the authors was the task of SemEval 2013 Task 4.

TL;DR: The main outcomes of the COREA project are a corpus annotated with coreferential relations and a coreference resolution system for Dutch, and an application-oriented evaluation of the system and a standard cross-validation evaluation.