Summary of the paper

Title A Corpus for Studying Full Answer Justification
Authors Arnaud Grappy, Brigitte Grau, Olivier Ferret, Cyril Grouin, Véronique Moriceau, Isabelle Robba, Xavier Tannier, Anne Vilnat and Vincent Barbier
Abstract Question answering (QA) systems aim at retrieving precise information from alarge collection of documents. To be considered as reliable by users, a QAsystem must provide elements to evaluate the answer. This notion of answerjustification can also be useful when developping a QA system in order to givecriteria for selecting correct answers. An answer justification can be found ina sentence, a passage made of several consecutive sentences or several passagesof a document or several documents. Thus, we are interesting in pinpointing theset of information that allows to verify the correctness of the answer in acandidate passage and the question elements that are missing in this passage.Moreover, the relevant information is often given in texts in a different formfrom the question form: anaphora, paraphrases, synonyms. In order to have abetter idea of the importance of all the phenomena we underlined, and toprovide enough examples at the QA developer's disposal to study them, wedecided to build an annotated corpus.
Language Textual Entailment and Paraphrasing
Topics Corpus (creation, annotation, etc.), Question Answering, Textual Entailment and Paraphrasing
Full paper A Corpus for Studying Full Answer Justification
Bibtex @InProceedings{GRAPPY10.529,
  author = {Arnaud Grappy, Brigitte Grau, Olivier Ferret, Cyril Grouin, Véronique Moriceau, Isabelle Robba, Xavier Tannier, Anne Vilnat and Vincent Barbier},
  title = {A Corpus for Studying Full Answer Justification},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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