"0302-9743" . . . "1"^^ . . "annotation game; paraphrase; textual entailment; natural language generation"@en . "P(LM2010013), P(VF20102014003), S" . "15th International Conference, CICLing 2014, Kathmandu, Nepal, April 6-12, 2014, Proceedings, Part I" . "RIV/00216224:14330/14:00073212!RIV15-MV0-14330___" . "Annotation Game for Textual Entailment Evaluation"@en . "RIV/00216224:14330/14:00073212" . "Annotation Game for Textual Entailment Evaluation" . "1"^^ . "11"^^ . . "Annotation Game for Textual Entailment Evaluation"@en . "000342989200028" . "10.1007/978-3-642-54906-9_28" . . . "Recognizing textual entailment (RTE) is a well-defined task concerning semantic analysis. It is evaluated against manually annotated collection of pairs hypothesis-text. A pair is annotated true if the text entails the hypothesis and false otherwise. Such collection can be used for training or testing a RTE application only if it is large enough. We present a game which purpose is to collect h-t pairs. It follows a detective story narrative pattern: a brilliant detective and his slower assistant talk about the riddle to reveal the solution to readers. In the game the detective (human player) provides a short story. The assistant (the application) proposes hypotheses the detective judges true, false or non-sense. Hypothesis generation is a rule-based process but the most likely hypotheses that are offered for annotation are calculated from a language model. During generation individual sentence constituents are rearranged to produce syntactically correct sentences."@en . . . "Recognizing textual entailment (RTE) is a well-defined task concerning semantic analysis. It is evaluated against manually annotated collection of pairs hypothesis-text. A pair is annotated true if the text entails the hypothesis and false otherwise. Such collection can be used for training or testing a RTE application only if it is large enough. We present a game which purpose is to collect h-t pairs. It follows a detective story narrative pattern: a brilliant detective and his slower assistant talk about the riddle to reveal the solution to readers. In the game the detective (human player) provides a short story. The assistant (the application) proposes hypotheses the detective judges true, false or non-sense. Hypothesis generation is a rule-based process but the most likely hypotheses that are offered for annotation are calculated from a language model. During generation individual sentence constituents are rearranged to produce syntactically correct sentences." . "Heidelberg" . "14330" . "Nev\u011B\u0159ilov\u00E1, Zuzana" . . . . . "3320" . . . . "9783642549052" . . . . "Annotation Game for Textual Entailment Evaluation" . "[D0EC7EFFD9EB]" . "Kathmandu, Nepal" . "2014-01-01+01:00"^^ . . "Springer-Verlag" .