HARD 2004 Topics and Annotations

<h3>Introduction</h3> <p>HARD 2004 Topics and Annotations 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. </p> <p>The current corpus was previously distributed to HARD Participants as LDC2004E42 and LDC2005E17. The source data that corresponds to this release is distributed as LDC2005T28, HARD 2004 Text. This corpus was created with support from the DARPA TIDES Program and LDC. </p> <h3>Data</h3> <p> Three major annotation tasks are represented in this release: Topic Creation, Clarification Form Responses, and Relevance Assessment. Topics include a short title, query plus context, and a number of limiting parameters known as metadata which include targeted geographical region, target data domain or genre, and level of searcher expertise. Clarification Forms are brief HTML questionnaires system developers submitted to LDC searchers to glean additional information about information needs directly from the topic creators. Relevance assessment consisted of adjudication of pooled system responses, and included document-level judgments for all topics, and passage-level relevance judgments for a subset of topics. 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 judgments for half of the topics. HARD participants received the reference data over the course of the evaluation cycle in stages: (0) training topics, (1) evaluation topic descriptions without metadata, (2) clarification form responses, (3) topic descriptions with metadata, and (4) relevance assessments.</p> <h3>Samples</h3> <p> For an example of the data in this publication, please review the following samples: </p><ul> <li> <a href="desc/addenda/LDC2005T29" rel="nofollow">Topic</a> </li> <li> <a href="desc/addenda/LDC2005T29.html" rel="nofollow">CF</a> </li> <li> <a href="desc/addenda/LDC2005T29.001" rel="nofollow">Result</a> </li> </ul> </br>
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