This paper discusses an iterative approach to Word Sense Disambiguation.

In this paper, the authors explore unsupervised techniques for the task of automatic short answer grading.

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 explorations in the automatic recognition of deceptive language.

This paper discusses grid-based coordinated routing in wireless sensor networks and compares the energy available in the network over time for different grid sizes. The authors explore the quality of service of wireless sensor networks, how the coordinator nodes are elected, and the size of the grid area that will minimize the total energy consumption and extend the lifetime of the network.

This presentation discusses Robocamp, a special summer camp that was created by the University of North Texas (UNT) Computer Science and Engineering department. Robocamp successfully promotes engineering among high school women.

This paper describes the efforts and results of a plan for actively recruiting students to undergraduate computer science and engineering programs at the University of North Texas (UNT). Such recruitment of students is critical to the country's efforts to increase the number of engineering professionals, and is a priority for the Computer Science and Engineering (CSE) Department at UNT.

This paper discusses language independent extractive summarization.

This paper discusses combining SenseLearner with SuperSence and other coarse semantic features.

The "Affective Text" task focuses on the classification of emotions and valence (positive/negative polarity) in news headlines, and is meant as an exploration of the connection between emotions and lexical semantics. In this paper, the authors describe the data set used in the evaluation and the results obtained by the participating systems.

This paper describes the University of North Texas SubFinder system. The system is able to provide the most likely set of substitutes for a word in a given context, by combining several techniques and knowledge sources. SubFinder has successfully participated in the best and out of ten (oot) tracks in the SEMEVAL lexical substitution task, consistently ranking in the first or second place.

This paper discusses creating annotated data collections.

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.

This paper discusses learning multilingual subjective language via cross-lingual projections.

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.

Patent relating to a method for removing contaminants on a substrate.

Patent relating to a method for using field emitter arrays in chemical and biological hazard mitigation and remediation.

Patent relating to an impact resistant device that can be worn as body armor to protect the wearer from high velocity projectiles.

This paper discusses dynamic agent population in agent-based distance vector routing.

Article reporting on a study of a series of 85 devices of vary design using a general method for directly measuring the low-frequency flux noise (below 10 Hz) in compound Josephson-junction superconducting flux qubits. The results support the hypothesis that local impurities in the vicinity of the qubit wiring are a key source of low-frequency flux noise in superconducting devices.

Article on the characterization of noise in a flux qubit using macroscopic resonant tunneling between the two lowest lying states of a bistable rf SQUID. Analysis of these results indicates that the dominant source of low energy flux noise in this device is a quantum mechanical environment in thermal equilibrium.

This paper discusses efforts to attract and retain students in computer science and engineering fields.

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

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