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open access

Learning to Identify Educational Materials

Description: This paper discusses learning to identify educational materials.
Date: 2009
Creator: Hassan, Samer & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

Word Sense and Subjectivity

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

Computational Models for Incongruity Detection in Humour

Description: In this paper, the authors explore several computational models for incongruity resolution.
Date: March 2010
Creator: Mihalcea, Rada, 1974-; Strapparava, Carlo, 1962- & Pulman, Stephen
Partner: UNT College of Engineering
open access

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
Partner: UNT College of Engineering
open access

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
Partner: UNT College of Engineering
open access

Co-training and Self-training for Word Sense Disambiguation

Description: 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.
Date: May 2004
Creator: Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

The Decomposition of Human-Written Book Summaries

Description: In this paper, the authors evaluate the extent to which human-written book summaries can be obtained through cut-and-paste operations from the original book. The authors analyze the effect of the parameters involved in the decomposition algorithm, and highlight the distinctions in coverage obtained for different summary types.
Date: March 2009
Creator: Ceylan, Hakan & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

Subjectivity Word Sense Disambiguation

Description: This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses.
Date: August 2009
Creator: Akkaya, Cem; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

UNT at ImageCLEF 2010: CLIR for Wikipedia Images

Description: This paper presents the results of the team of the University of North Texas in the Wikipedia image retrieval track of Image-CLEF-2010.
Date: September 2010
Creator: Ruiz, Miguel E.; Chen, Jiangping; Pasupathy, Karthikeyan; Chin, Pok & Knudson, Ryan
Partner: UNT College of Information
open access

Security and Privacy Issues with Smart Thermostats – A First Look

Description: Presentation paper for the 2017 International Conference on Knowledge Management. This paper uses the Brenda Dervin sense making model to explain human behavior and way of reasoning with making purchasing decisions of smart thermostats.
Date: October 26, 2017
Creator: Awojobi, Abiodun & Chang, Hsia-Ching
Partner: UNT College of Information
open access

Towards a Dimensional Model for Community Knowledge

Description: Poster paper for the 2017 International Conference on Knowledge Management. This paper proposes a dimensional model with "aspects of a corpus, such as topic or opinion, as derived star schema dimensions." Focusing on a case study on Twitter the paper demonstrates how the derived dimensions, combined with transactional facts and derived facts can uncover "the collective tacit knowledge in Twitter communities."
Date: October 25, 2017
Creator: Shakeri, Shadi & Evangelopoulos, Nicholas
Partner: UNT College of Information
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