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  Partner: UNT College of Engineering
 Collection: UNT Scholarly Works
Robocamp: Encouraging Young Women to Embrace STEM

Robocamp: Encouraging Young Women to Embrace STEM

Date: February 2009
Creator: Akl, Robert G. & Keathly, David
Description: 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.
Contributing Partner: UNT College of Engineering
Throughput Validation of an Advanced Channel Assignment Algorithm in IEEE 802.11 WLAN

Throughput Validation of an Advanced Channel Assignment Algorithm in IEEE 802.11 WLAN

Date: February 2009
Creator: Haidar, Mohamad; Al-Rizzo, Hussain Mudhaffar Younis, 1957-; Chan, Yupo; Akl, Robert G. & Bouharras, Mohamad
Description: In this article, an enhanced channel-assignment algorithm at the Access Points (APs) of a Wireless Local Area Network (WLAN) is validated.
Contributing Partner: UNT College of Engineering
The Decomposition of Human-Written Book Summaries

The Decomposition of Human-Written Book Summaries

Date: March 2009
Creator: Ceylan, Hakan & Mihalcea, Rada, 1974-
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.
Contributing Partner: UNT College of Engineering
Linguistic Ethnography: Identifying Dominant Word Classes in Text

Linguistic Ethnography: Identifying Dominant Word Classes in Text

Date: March 2009
Creator: Pulman, Stephen & Mihalcea, Rada, 1974-
Description: This paper discusses linguistic ethnography.
Contributing Partner: UNT College of Engineering
Text-to-text Semantic Similarity for Automatic Short Answer Grading

Text-to-text Semantic Similarity for Automatic Short Answer Grading

Date: March 2009
Creator: Mohler, Michael & Mihalcea, Rada, 1974-
Description: In this paper, the authors explore unsupervised techniques for the task of automatic short answer grading.
Contributing Partner: UNT College of Engineering
Real-Time Systems: An Introduction and the State-of-the-Art

Real-Time Systems: An Introduction and the State-of-the-Art

Date: March 16, 2009
Creator: Kavi, Krishna M.; Akl, Robert G. & Hurson, Ali
Description: This encyclopedia article gives an overview of the broad area of real-time systems. This task is daunting because real-time systems are everywhere, and yet no generally accepted definition differentiates real-time systems from non-real-time systems.
Contributing Partner: UNT College of Engineering
Toward Communicating Simple Sentences Using Pictorial Representations

Toward Communicating Simple Sentences Using Pictorial Representations

Date: April 2009
Creator: Mihalcea, Rada, 1974- & Leong, Ben
Description: This article discusses communicating simple sentences using pictorial representations.
Contributing Partner: UNT College of Engineering
Integrating Knowledge for Subjectivity Sense Labeling

Integrating Knowledge for Subjectivity Sense Labeling

Date: May 2009
Creator: Gyamfi, Yaw; Wiebe, Janyce M.; Mihalcea, Rada, 1974- & Akkaya, Cem
Description: This paper discusses integrating knowledge for subjectivity sense labeling.
Contributing Partner: UNT College of Engineering
Maya: A Novel Block Encryption Function

Maya: A Novel Block Encryption Function

Date: May 2009
Creator: Gomathisankaran, Mahadevan & Lee, Ruby Bei-Loh
Description: This paper discusses a novel block encryption function.
Contributing Partner: UNT College of Engineering
Topic Identification Using Wikipedia Graph Centrality

Topic Identification Using Wikipedia Graph Centrality

Date: May 2009
Creator: Coursey, Kino High & Mihalcea, Rada, 1974-
Description: This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from Wikipedia. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge.
Contributing Partner: UNT College of Engineering