most citedUse of Wikipedia Categories in Entity Ranking

13 citations · 39 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2007

Entity Ranking in Wikipedia

Anne-Marie Vercoustre, James A. Thom, Jovan Pehcevski

The traditional entity extraction problem lies in the ability of extracting named entities from plain text using natural language processing techniques and intensive training from…

cs.IR2007★ 13 cited

Use of Wikipedia Categories in Entity Ranking

James A. Thom, Jovan Pehcevski, Anne-Marie Vercoustre

Wikipedia is a useful source of knowledge that has many applications in language processing and knowledge representation. The Wikipedia category graph can be compared with the clas…

cs.IR2005★ 5 cited

Enhancing Content-And-Structure Information Retrieval using a Native XML Database

Jovan Pehcevski, James A. Thom, Anne-Marie Vercoustre

Three approaches to content-and-structure XML retrieval are analysed in this paper: first by using Zettair, a full-text information retrieval system; second by using eXist, a nativ…

cs.IR2005★ 9 cited

Hybrid XML Retrieval: Combining Information Retrieval and a Native XML Database

Jovan Pehcevski, James A. Thom, Anne-Marie Vercoustre

This paper investigates the impact of three approaches to XML retrieval: using Zettair, a full-text information retrieval system; using eXist, a native XML database; and using a hy…

cs.IR2005★ 12 cited

Users and Assessors in the Context of INEX: Are Relevance Dimensions Relevant?

Jovan Pehcevski, James A. Thom, Anne-Marie Vercoustre

The main aspects of XML retrieval are identified by analysing and comparing the following two behaviours: the behaviour of the assessor when judging the relevance of returned docum…