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Description
  • 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.
  • 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)
Title
  • Annotation Game for Textual Entailment Evaluation
  • Annotation Game for Textual Entailment Evaluation (en)
skos:prefLabel
  • Annotation Game for Textual Entailment Evaluation
  • Annotation Game for Textual Entailment Evaluation (en)
skos:notation
  • RIV/00216224:14330/14:00073212!RIV15-MV0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LM2010013), P(VF20102014003), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 3320
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/14:00073212
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • annotation game; paraphrase; textual entailment; natural language generation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D0EC7EFFD9EB]
http://linked.open...v/mistoKonaniAkce
  • Kathmandu, Nepal
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • 15th International Conference, CICLing 2014, Kathmandu, Nepal, April 6-12, 2014, Proceedings, Part I
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Nevěřilová, Zuzana
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000342989200028
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-54906-9_28
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 9783642549052
http://localhost/t...ganizacniJednotka
  • 14330
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