PASCAL Second Challenges Workshop, Venice 2006
By introducing a second challenge we hope to keep the momentum going, and to further promote the formation of a research community around the applied entailment task. As in the previous challenge, the main task is judging whether a hypothesis (H) is entailed by a text (T). One of the main goals for the RTE-2 dataset is to provide more "realistic" text-hypothesis examples, based mostly on outputs of actual systems. We focus on the four application settings mentioned above: QA, IR, IE and multi-document summarization. Each portion of the dataset includes typical T-H examples that correspond to success and failure cases of such applications. The examples represent different levels of entailment reasoning, such as lexical, syntactic, morphological and logical.
Second PASCAL Recognizing Textual Entailment Challenge (RTE-2)