To our knowledge, this is the first application of ranked self-indexes for multilingual tasks at. NTCIR. In the NTCIR-9 GeoTime task, the document collections.
To our knowledge, this is the first application of ranked self-indexes for multilingual tasks at. NTCIR. In the NTCIR-9 GeoTime task, the document collections.
Self-indexes. ▻ A new viable alternative to inverted indexes. ▻ A data structure for character level pattern matching. ▻ Word boundaries are flexibly ...
This overview describes the data collections (Japanese and English news stories), topic development, assessment results and lessons learned from the NTCIR ...
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-Lingual ...
Bibliographic details on RMIT and Gunma University at NTCIR-9 GeoTime Task.
RMIT and Gunma University at NTCIR-9 GeoTime Task. In this report, we describe our experimental approach for the NTCIR-9 GeoTime task. For our experiments ...
In this report, we describe our experimental approach for the NTCIR-9 GeoTime task. For our experiments, we use our experimental search engine, Newt. Newt is a ...
RMIT and Gunma University at NTCIR-9 Intent Task. Michiko Yasukawa∗. J. Shane ... NTCIR-9 Workshop Meeting, 2011, Tokyo, Japan. Copyright National ...
Missing: GeoTime | Show results with:GeoTime
In this paper, we present a novel ap-proach to language independent, ranked document retrieval using our new self-index search engine, Newt.