This paper discusses web harvesting and the University of North Texas (UNT) Libraries' Presidential End of Term Web Harvest Project in which they captured government websites for archiving. In this paper, the author describes what web harvesting is, gives information on the project, and links and tools.

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.

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

This paper describes the authors' work in integrating three different lexical resources: FrameNet, VerbNet, and WordNet, into a unified, richer knowledge-base, to the end of enabling more robust semantic parsing.

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

This paper discusses a language independent algorithm for single and multiple document summarization.

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.

This paper discusses investigations in automatic humor recognition.

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 discusses approximating user distributions in WCDMA networks using 2-D Gaussian.

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

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 discussing the use of special diagnostic records in the context of Z39.50 and online library catalogs.

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 measuring the semantic similarity of texts.

This article discusses semantic document engineering with WordNet and PageRank.

This paper discusses automatic recognition of humor.

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

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

This paper discusses multi-document synchronization with iterative graph-based algorithms.

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 paper discusses language independent extractive summarization.

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.