Video from the Fall 2018 3 Minute Thesis (3MT®) Final Competition. In this video, ABM Rezbaul Islam presents his research methods, findings, and its significance in non-technical language.

Video from the Fall 2018 3 Minute Thesis (3MT®) Final Competition. In this video, Shraddha Piparia presents her research methods, findings, and its significance in non-technical language.

This paper discusses instance based learning with automatic feature selection applied to word sense disambiguation.

This article discusses the structure and performance of an open-domain question answering system.

Article discussing strategies for the retention and recruitment of women and minorities in computer science and engineering.

This paper describes the efforts and results of a plan for actively recruiting women students to undergraduate computer engineering programs at the University of North Texas (UNT). It also describes a series of activities aimed at improving retention rates of women students already in our programs. Such recruitment and retention of women 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 efforts to attract and retain students in computer science and engineering fields.

Poster presentation for the 2012 University Scholars Day at the University of North Texas discussing research on open-source software and development teams.

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 discusses eXtended WordNet.

This paper discusses letter level learning for language independent diacritics restoration.

This book chapter discusses annotating and identifying emotions in text.

This paper introduces several extractive approaches for automatic image tagging, relying exclusively on information mined from texts. Through evaluations on two datasets, the authors show that their methods exceed competitive baselines by a large margin, and compare favorably with the state-of-the-art that uses both textual and image features.

This paper discusses intra-class competitive assignments in CS2.

This paper discusses word sense disambiguation.

This paper introduces the semantic wildcard, one of the most powerful operators implemented in IRSLO, which allows for searches along general-specific lines.

This article describes the SemEval-2010 Cross-Lingual Lexical Substitution task.

This article discusses motivating and retaining computer science students with a competitive game programming project.

This report discusses research on reducing our carbon footprint through ridesharing. The focus of this research project was to analyze and collect travel trajectories to calculate carbon footprints under different travel modes and identify ways to reduce it.

This paper discusses LASSO, a tool for surfing the answer net.

This paper discusses a WordNet-based interface to Internet search engines.

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 article introduces a novel multi-objective attack response system.

Paper describes a project with the goal of designing and prototyping a small-scale unmanned aerial vehicle (UAV), offering dual-channel real-time video, data logging, and waypoint tracking.