Current Information Retrieval systems use inverted index structures for efficient query processing. Due to the extremely large size of many data sets, these index structures are u...
Text documents often embed data that is structured in nature. This structured data is increasingly exposed using information extraction systems, which generate structured relation...
We have explored a novel method to find textual relations in electronic documents using genetic programming and semantic networks. This can be used for enhancing information retri...
In the robust track, we mainly tested our passage-based retrieval model with different passage sizes and weighting schemes. In our approach, we used two retrieval models, namely t...
Management and retrieval of large volumes of text can be expensive in both space and time. Moreover, the range of document sizes in a large collection such as trec presents difficu...
Alistair Moffat, Ron Sacks-Davis, Ross Wilkinson, ...