ISCAS at TREC 2004: HARD Track

University of Chicago at TREC 2004: HARD Track

The Robert Gordon University's HARD Track Experiments at TREC 2004

The High Accuracy Retrieval from Documents (HARD) track explores methods of improving the accuracy of document retrieval systems. As part of this track, the participants have investigated how information about a searcher’s context can be used to improve retrieval performance [Allan, 2003; Allan, 2004]. Searchers, referred to as assessors in this track, produce TREC-style search topics. Addition...

HARD Track Overview in TREC 2004 - High Accuracy Retrieval from Documents

The HARD track of TREC 2004 aims to improve the accuracy of information retrieval through the use of three techniques: (1) query metadata that better describes the information need, (2) focused and time-limited interaction with the searcher through “clarification forms”, and (3) incorporation of passage-level relevance judgments and retrieval. Participation in all three aspects of the track was...

WIDIT in TREC 2004 Genomics, Hard, Robust and Web Tracks

To facilitate understanding of information as well as its discovery, we need to combine the capabilities of the human and the machine as well as multiple methods and sources of evidence. Web Information Discovery Tool (WIDIT) Laboratory at the Indiana University School of Library and Information Science houses several projects that aim to apply this idea of multi-level fusion in the areas of in...

TREC12 HARD Track at ISCAS

Statistical model in retrieval has been shown to perform well empirically. Extended Boolean model has been widely used in business system for its easiness to be complemented and not bad results. In this paper, a statistical model and modified Boolean model and natural language processing techniques, shallow query understanding techniques are used and results show that even with very limited tra...