SemEval-2016 Task 2: Interpretable Semantic Textual Similarity

  title={SemEval-2016 Task 2: Interpretable Semantic Textual Similarity},
  author={Eneko Agirre and Aitor Gonzalez-Agirre and I{\~n}igo Lopez-Gazpio and Montse Maritxalar and German Rigau and Larraitz Uria},
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… CONTINUE READING
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