Comunicació presentada al 10th International Workshop on Semantic Evaluation (SemEval-2016), celebrat els dies 16 i 17 de juny de 2016 a San Diego, Califòrnia.The final goal of Interpretable Semantic Textual
Similarity (iSTS) is to build systems that
explain which are the differences and commonalities
between two sentences. The task
adds an explanatory level on top of STS, formalized
as an alignment between the chunks
in the two input sentences, indicating the relation
and similarity score of each alignment.
The task provides train and test data on three
datasets: news headlines, image captions and
student answers. It attracted nine teams, totaling
20 runs. All datasets and the annotation
guideline are freely available.This material is based in part upon work supported a MINECO grant to the University of the Basque Country (TUNER project TIN2015-65308-C5-1-R). Aitor Gonzalez Agirre and Inigo Lopez-Gazpio are by doctoral grants from MINECO. The IXA group is funded by the Basque Government (A type Research Group)