Summary of the paper

Title Statistical Evaluation of Information Distillation Systems
Authors J.V. White, D. Hunter and J.D. Goldstein
Abstract We describe a methodology for evaluating the statistical performance of information distillation systems and apply it to a simple illustrative example. (An information distiller provides written English responses to English queries based on automated searches/transcriptions/translations of English and foreign-language sources. The sources include written documents and sound tracks.) The evaluation methodology extracts information nuggets from the distiller response texts and gathers them into fuzzy equivalence classes called nugs. Themethodology supports the usual performancemetrics, such as recall and precision, as well as a new information-theoretic metric called proficiency, which measures how much information a distiller provides relative to all of the information provided by a collection of distillers working on a common query and corpora. Unlike previous evaluation techniques, the methodology evaluates the relevance, granularity, and redundancy of information nuggets explicitly.
Language Language-independent
Topics Evaluation methodologies, Statistical methods
Full paper Statistical Evaluation of Information Distillation Systems
Slides Statistical Evaluation of Information Distillation Systems
Bibtex @InProceedings{WHITE08.914,
  author = {J.V. White, D. Hunter and J.D. Goldstein},
  title = {Statistical Evaluation of Information Distillation Systems},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {},
  language = {english}

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