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02713amm a2200373 a 4500
001 175846E2019F11E89C78220097128E48
003 SILO
005 20180125010234
007 co bg |||mnuuu
008 060425s2005    pau        m        eng d
020    $a 9781585633739
020    $a 1585633739
035    $a (OCoLC)67619979
040    $a RCE $c RCE $d RCE $d IaU $d UtOrBLW $d SILO
100 1  $a Strassel, Stephanie.
245 10 $a HARD 2004 topics and annotations / $c [authors, Stephanie Strassel and Meghan Glenn].
246 33 $a High accuracy retrieval from documents (HARD) 2004 topics and annotations
246 33 $a High accuracy retrieval from documents 2004 topics and annotations
264  1 $a [Philadelphia, Pa.] : $b Linguistic Data Consortium, University of Pennsylvania, $c [2005]
300    $a 1 CD-ROM : $b black and white ; $c 4 3/4 in.
340    $a plastic $a plastic $b 4 ¾ in. $i any platform with any Web browser (Netscape Navigator, etc.) and/or text processing application (Microsoft Word, etc.), and PDF reader installed.
538    $a System requirements: any platform with any Web browser (Netscape Navigator, etc.) and/or text processing application (Microsoft Word, etc.), and PDF reader installed.
500    $a Title from "index.html" file; additional information from the pertinent LDC catalog webpage.
500    $a "LDC2005T29."
500    $a "This corpus contains topics and annotations (clarification forms, responses and relevance assessments) for the 2004 TREC HARD (High Accuracy Retrieval from Documents) Evaluation. HARD 2004 was a track within the NIST Text REtrieval Conference (TREC), with the objective of achieving high accuracy retrieval from documents by leveraging additional information about the searcher and/or the search context, through techniques like passage retrieval and the use of targeted interaction with the searcher ... The release is divided into training and evaluation resources. The training set comprises twenty-one topics and 100 document-level relevance judgments per topic. The evaluation set contains fifty topics, clarification forms and responses, document-level relevance assessment for all topics and passage-level relevance judgments for half of the topics."--index file.
650  0 $a Information retrieval $v Databases.
650  0 $a Data mining $x Research.
650  0 $a Metadatabases. $0 http://id.loc.gov/authorities/subjects/sh96000741
650  0 $a English language $v Databases.
700 1  $a Glenn, Meghan.
710 2  $a Linguistic Data Consortium. $0 http://id.loc.gov/authorities/names/no2003104537
941    $a 1
952    $l OVUX522 $d 20180125065947.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=175846E2019F11E89C78220097128E48

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