Document retrieval in languages with a rich and complex morphology – particularly in terms of derivation and (single-word) composition – suffers from serious performance degra...
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
Passage retrieval and pseudo relevance feedback/query expansion have been reported as two effective means for improving document retrieval in literature. Relevance models, while im...
Spoken Document Retrieval (SDR) is a promising technology for enhancing the utility of spoken materials. After the spoken documents have been transcribed by using a Large Vocabula...
This paper extends previous work on document retrieval and document type classification, addressing the problem of ‘typed search’. Specifically, given a query and a designated ...
Jun Xu, Yunbo Cao, Hang Li, Nick Craswell, Yalou H...
The full integration of information retrieval (IR) features into a database management system (DBMS) has long been recognized as both a significant goal and a challenging undertak...
Samuel DeFazio, Amjad M. Daoud, Lisa Ann Smith, Ja...
We consider the retrieval of XML-structured documents, and of passages from such documents, defined as elements of the XML structure. These are considered from the point of view of...
This paper describes our experiments in Geographical Information Retrieval (GIR) in the context of our participation in the GeoCLEF 2006 Monolingual English task. The TALPGeoIR sy...
The Dublin City University participation in the CLEF 2006 CL-SR task concentrated on exploring the combination of the multiple fields associated with the documents. This was based...
Gareth J. F. Jones, Ke Zhang, Adenike M. Lam-Adesi...
Abstract. This paper proposes an expert peering system for information exchange. Our objective is to develop a real-time search engine for an online community where users can ask e...