This paper discusses optimal access point selection and the traffic allocation in IEEE 802.11 networks.

In this paper, the authors investigate the performance of a multi-cell CDMA network by determining the maximum throughput that the network can archive for a given grade-of-service requirement, quality-of-service requirement, network topology and call arrival rate profile.

Paper accompanying a poster presentation for the 2005 ASIS&T Annual Conference. This paper provides an overall scenario in the areas of aggregating a variety of digital formats, archiving digital content, and innovative uses of digital library technologies.

Paper for the 2005 IS&T Archiving Conference. This article discusses the issues of compliance and interoperability in integrating heterogeneous digital resources and lessons from the Texas History Portal.

In this paper, the authors introduce PicNet, a Web-based system for augmenting semantic resources with illustrative images using volunteer contributions over the Web.

This paper proposes a Retrieval Outcome Analysis Framework, or ROA Framework, to systematically evaluate retrieval performance of Cross-Language Information Retrieval systems.

This paper discusses Chinese information retrieval using Lemur, a freely available information retrieval toolkit.

This paper describes our participation in the NTCIR-5 CLQA task.

This paper reports the authors' TREC 2005 QA participation. The authors' QA system Eagle QA developed last year was expanded and modified for this year's QA experiments. Particularly, the authors used Lemur 4.1 as the Information Retrieval (IR) Engine this year to find documents that may contain answers for the test questions from the document collection. The authors' result shows Lemur did a reasonable job on finding relevant documents. But certainly there is room for further improvement.

Article on an innovative partnership to recruit and educate biomedical information professionals.

This paper discusses measuring the semantic similarity of texts.

In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.

This paper examines research on the significance of clothing, specifically, the "men's suit," in select examples of contemporary American performance art. Drawing on sociology and art history, it considers the suit as a form of communication, and it suggests that performance artists Chris Burden, Paul McCarthy, and Vanessa Beecroft have used the "men's suit" to explore and communicate something about masculinity as a socially and culturally constructed hegemony.

A paper which presents a review of existing literature on emission factors, emission data collection techniques, and analytical approaches. It presents the results of SAIC's analysis of available CO2 and CH4 GHG emission data from chassis dynamometer tests of heavy-duty vehicle exhaust.

This paper discusses research on the effects of mutual partner violence on women's mental health.

Paper presented at the 2005 Women in Music/Contemporary Music Roundtable at the Music Library Association Annual Conference. This paper discusses the music of Gloria Coates and her radio program in Germany.

This paper discusses non-preemptive, real-time scheduling.

This paper presents the task definition, resources, participating systems, and comparative results for the shared task on word alignment which was organized as part of the Association for Computational Linguistics (ACL) 2005 Workshop on Building and Using Parallel Texts. The shared task included English-Inuktitut, Romanian-English, and English-Hindi sub-tasks, and drew the participation of ten teams from around the world with a total of 50 systems.

This paper discusses language independent extractive summarization.

This paper introduces a graph-based algorithm for sequence data labeling, using random walks on graphs encoding label dependencies. The algorithm is illustrated and tested in the context of an unsupervised word sense disambiguation problem, and shown to significantly outperform the accuracy achieved through individual label assignment, as measured on standard sense-annotated data sets.

This paper describes SenseLearner, a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses.

This article discusses using the essence of texts to improve document classification.

This paper discusses automatic recognition of humor.

This paper discusses investigations in automatic humor recognition.