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Text Mining for Automatic Image Tagging

Description: 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.
Date: August 2010
Creator: Leong, Chee Wee; Mihalcea, Rada, 1974- & Hassan, Samer
Item Type: Paper
Partner: UNT College of Engineering

Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

Description: In this paper, the authors discuss research on whether they can use Mechanical Turk (MTurk) to acquire goo annotations with respect to gold-standard data, whether they can filter out low-quality workers (spammers), and whether there is a learning effect associated with repeatedly completing the same kind of task.
Date: June 2010
Creator: Akkaya, Cem; Conrad, Alexander; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Item Type: Paper
Partner: UNT College of Engineering

Robocamp: Encouraging Young Women to Embrace STEM

Description: 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.
Date: February 2009
Creator: Akl, Robert G.; Keathly, David & Garlick, Ryan
Item Type: Presentation
Partner: UNT College of Engineering

Self-Configuring Wireless MEMS Network

Description: This presentation discusses miniature, lightweight, self-powered wireless sensors, and networking software needs.
Date: January 2008
Creator: Akl, Robert G.; Kavi, Krishna M. & El Rewini, Hesham
Item Type: Presentation
Partner: UNT College of Engineering

Word Sense and Subjectivity

Description: This paper discusses word sense and subjectivity.
Date: July 2006
Creator: Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Item Type: Paper
Partner: UNT College of Engineering

Characterizing Humour: An Exploration of Features in Humorous Texts

Description: This paper investigates the problem of automatic humor recognition, and provides an in-depth analysis of two of the most frequently observed features of humorous text: human-centeredness and negative polarity. Through experiments performed on two collections of humorous texts, the authors show that these properties of verbal humor are consisted across different data sets.
Date: February 2007
Creator: Mihalcea, Rada, 1974- & Pulman, Stephen
Item Type: Paper
Partner: UNT College of Engineering

TextRank: Bringing Order into Texts

Description: 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.
Date: July 2004
Creator: Mihalcea, Rada, 1974- & Tarau, Paul
Item Type: Paper
Partner: UNT College of Engineering