This paper describes an algorithm for open text shallow semantic parsing.

This paper discusses the main lines of research in deriving efficient Word Sense Disambiguation.

This paper discusses Question Answering (QA) combining multiple evidences.

This article discusses open text semantic parsing using FrameNet and WordNet.

Paper for the 2004 IS&T Annual Archiving Conference. This paper discusses issues related to digital resource management when capturing and preserving web-based, heterogeneous digital materials produced by a variety of software in various versions.

This paper discusses subscriber maximization in CDMA cellular networks.

This paper describes a typology of paths.

This paper discusses the University of North Texas (UNT) Libraries' Portal to Texas History's archival challenges and solutions. The UNT Texas History Portal Project strives to balance the goals of accessibility of information and long-term preservation of digital objects. This poster details the system that automates the collection of metadata records to coordinate access to web-viewable files and preservation of archived master files.

This paper discusses an evaluation exercise for Romanian word sense disambiguation.

This article discusses PageRank on semantic networks, with application to word sense disambiguation.

This paper presents the task definition, resources, participating systems, and comparative results for the English lexical sample task, which was organized as part of the SENSEVAL-3 evaluation exercise.

This paper describes the English-Hindi Multilingual lexical sample task in SENSEVAL-3.

This paper introduces SenseLearner - a minimally supervised sense tagger that attempts to disambiguate all content words in a text using the sense from WordNet. SenseLearner participated in the SENSEVAL-3 English all words task, and achieved an average accuracy of 64.6%.

In this paper, the authors introduce TextRank, a graph-based ranking model for text processing, and show how this model can be successfully used in natural language applications.

This paper discusses global versus local call admission control.

This paper investigates the application of co-training and self-training to word sense disambiguation. Optimal and empirical parameter selection methods for co-training and self-training are investigated, with various degrees of error reduction. A new method that combines co-training with majority voting is introduced, with the effect of smoothing the bootstrapping learning curves, and improving the average performance.

This paper discusses an impact of interference model on capacity in CDMA cellular networks.

This paper discusses a logic programming framework for semantic interpretation with WordNet and PageRank.

This paper introduces a new codification scheme for efficient computation of measures in semantic networks. The scheme is particularly useful for fast computation of semantic associations between words and implementation of an informational retrieval operator for efficient search in semantic spaces. Other applications may also be possible.

Abstract: This paper presents an innovative unsupervised method for automatic sentence extraction using graph-based ranking algorithms. We evaluate the method in the context of a text summarization task, and show that the results obtained compare favorably with previously published results on established benchmarks.

Document describing the history of Hereford Independent School District starting with the opening of county schools in 1893 and ending with the 2004-2005 school year.

This paper introduces the concept of web site usability, provides a brief introduction to the techniques, offers examples from two “real life” studies that show how the techniques of formal usability studies, focus groups, and card sorts can be used and offers tips and tricks for employing these techniques.

Paper discussing non-Poisson processes and regression to equilibrium versus equilibrium correlation functions.

This paper shows results from the application of a novel variant of Random Forests to the shallow semantic parsing problem.