EVALITA 2009 Italian Part-Of-Speech Tagging Evaluation. Task Guidelines

This report presents the results of all evaluations (Section 6), along with descriptions of GREC - MSR data and task (Sec- tion 2), test sets (Section 3), evaluation methods

In this particular evaluation, the small number of unique genes in the manually annotated corpus of abstracts results in the majority of gene names being unseen in the training

We provided not only training data from the Eu- roparl corpus (Koehn, 2005), but also additional re- sources: sentence and word alignments, the decoder Pharaoh 1 (Koehn, 2004b), and

The schedule for the evaluation campaign was set by the SemEval organisation as follows: (i) release task description and trial data set; (ii) release of training and test;

For training translation model, language models, and NMT reranker, we used only the provided constrained data (SETIMES 2 parallel Turkish- English corpus, and monolingual Turkish

The competition organizers provided two development sets, one (dev) that is close to the training data, with both train and dev being drawn from the year 2010, and another (dev

The evaluation of the algorithm’s performance relies on two sets of data: the subjective scores obtained in a subjective test and the objective scores obtained by running the