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Text Retrieval Conference




Each track has a challenge wherein NIST provides participating groups with data sets and test problems. Depending on track, test problems might be questions, topics, or target extractible Features . Uniform scoring is performed so the systems can be fairly evaluated. After evaluation of the results, a workshop provides a place for participants to collect together thoughts and ideas and present current and future research work.


PARTICIPATION


The conference is made up a varied, international group of researchers and developers. In 2003, there were 93 groups from both academia and industry from 22 countries participating.


CONFERENCE CONTRIBUTIONS


TREC claims that within the first six years of the workshops, the effectiveness of retrieval systems has approximately doubled. The conference was also the first to hold large-scale evaluations of non-English documents, speech, video and retrieval across languages. Additionally, the challenges have inspired a large body of publications . Technology first developed in TREC is now included in many of the world's commercial search engines.


TRACKS

''New tracks are added as new research needs are identified, this list is current for 2006.''
  • . New for 2006.

  • Enterprise Track - Goal: to study search over the data of an organization to complete some task.

  • Genomics Track - Goal: to study the retrieval of genomic data, not just gene sequences but also supporting documentation such as research papers, lab reports, etc.

  • Legal Track - Goal: to develop search technology that meets the needs of lawyers to engage in effective discovery in digital document collections. New for 2006.

  • than just Document Retrieval by answering factoid, list and definition-style questions.

  • ing approaches.

  • community can scale traditional IR test-collection-based evaluation to significantly large collections.


''Past tracks''
  • Cross-Language Track - Goal: to investigate the ability of retrieval systems to find documents topically regardless of source language.

  • Filtering Track - Goal: to binarily decide retrieval of new incoming documents given a stable Information Need .

  • HARD Track - Goal: to achieve High Accuracy Retrieval from Documents by leveraging additional information about the searcher and/or the search Context .

  • Interactive Track - Goal: to study user interaction with text retrieval systems

  • Novelty Track - Goal: to investigate systems' abilities to locate new (i.e., non-redundant) information.

  • Robust Retrieval Track - Goal: to focus on individual topic effectiveness.

  • Video Track - Goal: to research in automatic segmentation, Index ing, and content-based retrieval of Digital Video .

  • :In 2003, this track became its own independent evaluation named TRECVID .

  • Web Track - Goal: to search on a document set that is a snapshot of the World Wide Web.



EXTERNAL LINKS


''Information extracted from the publicly available parts of the TREC homepage .''