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ADCS
2004
13 years 8 months ago
NLPX - An XML-IR System with a Natural Language Interface
Traditional information retrieval (IR) systems respond to user queries with ranked lists of relevant documents. The separation of content and structure in XML documents allows indi...
Alan Woodley, Shlomo Geva
ADCS
2004
13 years 8 months ago
Focused Crawling in Depression Portal Search: A Feasibility Study
Previous work on domain specific search services in the area of depressive illness has documented the significant human cost required to setup and maintain closed-crawl parameters....
Thanh Tin Tang, David Hawking, Nick Craswell, Rame...
ADCS
2004
13 years 8 months ago
Novel Group Awareness Mechanisms for Real-Time Collaborative Document Authoring
Group awareness has become important in improving the usability of real-time, distributed, collaborative writing systems. However, the current set of implemented awareness mechanis...
Gitesh K. Raikundalia, Hao Lan Zhang
ADCS
2004
13 years 8 months ago
GOOD Publishing System: Generic Online/Offline Delivery
GOOD is a tailor-made, fully integrated publishing system that creates output documents for multiple media types used in both online and offline teaching modes at the University of...
Jacek Radajewski, Sally MacFarlane, Stijn Dekeyser
ADCS
2004
13 years 8 months ago
On the Effectiveness of Relevance Profiling
Relevance profiling is a general process for withindocument retrieval. Given a query, a profile of retrieval status values is computed by sliding a fixed sized window across a doc...
David J. Harper, David Lee
ADCS
2004
13 years 8 months ago
Phrases and Feature Selection in E-Mail Classification
In this paper we study the effectiveness of using a phrase-based representation in e-mail classification, and the affect this approach has on a number of machine learning algorithm...
Elisabeth Crawford, Irena Koprinska, Jon Patrick
ADCS
2004
13 years 8 months ago
Co-Training on Textual Documents with a Single Natural Feature Set
Co-training is a semi-supervised technique that allows classifiers to learn with fewer labelled documents by taking advantage of the more abundant unclassified documents. However, ...
Jason Chan, Irena Koprinska, Josiah Poon