The Media and Communication Industries: A 21st Century Perspective
Date: November 2010
Creator: Albarran, Alan B.
Description: This article discusses the media and communication industry. Abstract: The media and communication industries are experiencing unprecedented change and evolution in the 21st century. This article examines this process with a case study method by analyzing the traditional and new media sectors using the following criteria: the markets in which they are engaged, the leaders in each of the respective industries, the economic potential of these industries, and their continuing evolution and transforming processes. The article argues that the media and communications industries can no longer be identified in terms of core sectors such as broadcasting or newspapers, but rather to a different structure of activities involving such areas as content, distribution, and search features. Further, the paper posits that new theoretical and methodological tools are needed by scholars to better understand the massive changes and transformation occurring across the media sector. A series of propositions concludes the paper, offering a framework on which to build future research and analysis.
Contributing Partner: UNT College of Arts and Sciences
Permallink:digital.library.unt.edu/ark:/67531/metadc30854/
Multicell CDMA Network Design
Date: May 2001
Creator: Akl, Robert G.; Hegde, Manju V.; Naraghi-Pour, Mort & Min, Paul S.
Description: Traditional design rules for cellular networks are not directly applicable to code division multiple access (CDMA) networks where intercell interference is not mitigated by cell placement and careful frequency planning. For transmission quality requirements, a minimum signal-to-interface ratio (SIR) must be achieved. The base-station location, its pilot-signal power (which determines the size of the cell), and the transmission power of the mobiles all affect the received SIR. In addition, because of the need for power control in CDMA networks, large cells can cause a lot of interference to adjacent small cells, posing another constraint to design. In order to maximize the network capacity associated with a design, the authors develop a methodology to calculate the sensitivity of capacity to base-station location, pilot-signal power, and transmission power of each mobile. To alleviate the problem caused by difference cell sizes, the authors introduce the power compensation factor, by which the nominal power of the mobiles in every cell is adjusted. The authors then use the calculated sensitivities in an iterative algorithm to determine the optimal locations of the base stations, pilot-signal powers, and power compensation factors in order to maximize capacity. The authors show examples of how networks using these design techniques ...
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30815/
Networks and Natural Language Processing
Date: September 2008
Creator: Radev, Dragomir R. & Mihalcea, Rada
Description: This article discusses networks and natural language processing. Over the last few years, a number of areas of natural language processing have begun applying graph-based techniques. These include, among others, text summarization, syntactic parsing, word-sense disambiguation, ontology construction, sentiment and subjectivity analysis, and text clustering. In this paper, the authors present some of the most successful graph-based representations and algorithms used in language processing and try to explain how and why they work
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc31008/
Parallel Texts
Date: September 2005
Creator: Mihalcea, Rada & Simard, Michel
Description: This article discusses parallel texts. Parallel texts have become a vital element for natural language processing. The authors present a panorama of current research activities related to parallel texts, and offer some thoughts about the future of this rich field of investigation.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30971/
Technologies That Make You Smile: Adding Humor to Text-Based Applications
Date: 2006
Creator: Mihalcea, Rada & Strapparava, Carlo
Description: In this article, the authors explore computational approaches' applicability to the recognition and use of verbally expressed humor. Particularly, the authors focus on three important research questions related to this problem: Can we automatically gather large collections of humorous texts? Can we automatically recognize humor in text? And can we automatically insert humorous add-ons into existing applications?
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30985/
SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text
Date: June 2005
Creator: Mihalcea, Rada & Csomai, Andras
Description: This article describes SenseLearner, a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses. The authors evaluate the accuracy of SenseLearner on several standard sense-annotated data sets, and show that it compares favorably with the best results reported during the recent SENSEVAL evaluations.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30975/
Toward Communicating Simple Sentences Using Pictorial Representations
Date: April 2009
Creator: Mihalcea, Rada & Leong, Ben
Description: This paper evaluates the hypothesis that pictorial representations can be used to effectively convey simple sentences across language barriers. Comparative evaluations show that a considerable amount of understanding can be achieved using visual descriptions of information, with evaluation figures within a comparable range of those obtained with linguistic representations produced by an automatic machine translation system.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc31021/
Word Sense Disambiguation with Pattern Learning and Automatic Feature Selection
Date: December 2002
Creator: Mihalcea, Rada
Description: This paper presents a novel approach for word sense disambiguation. The underlying algorithm has two main components: (1) pattern learning from available sense-tagged corpora (SemCor), from dictionary definitions (WordNet) and from a generated corpus (GenCor), and (2) instance based learning with automatic feature selection, when training data is available for a particular word. The ideas described in this paper were implemented in a system that achieved the best score during the SENSEVAL-2 evaluation exercise, for both English all words and English lexical sample tasks.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30945/
Copyright and Fair Use: An Issue of Ethics in a Changing Learning Environment
Date: 2004
Creator: Allen, Jeff M.; Elleven, Russell K.; Andrews, Charles G.; Cox, Lynne Cagle & Clem, Karen E.
Description: This article discusses copyright issues. Abstract: Copyright infringement is one of the most talked about, yet most misunderstood topics in the curriculum and instructional development areas. The field of copyright protection is fraught with gray areas that undermine an individual's honest ability to discern what might be lawful uses of copyrighted materials. This article begins with a brief history of copyright law in the U.S. and provides examples, references, and discussion of "fair use." Additionally, issues related to the Internet are addressed, including: Web Linking, Framing, Plagiarism, Web-based referencing. Finally, considerations and suggestions for teaching and using ethical practices in the industrial and educational classroom are discussed. Fair use and copyright in educational institutions is largely an ethical issue. Ethics are not dependent on individual's actions. All parties involved must contribute to the ethical nature of an event and must accept both the responsibility for their actions or their non-actions.
Contributing Partner: UNT College of Information
Permallink:digital.library.unt.edu/ark:/67531/metadc31081/
Campus Chaplains: Cult Training and Perceptions
Date: June 2004
Creator: Elleven, Russell K.; Greenhaw, Kimberly J. & Allen, Jeff M.
Description: Abstract: This article examines the perception of 43 college chaplains across the United States with regard to cult training and perceptions of college and university cult activity. Campus chaplains are in a unique and challenging position on college campuses to assist students and confront cult issues. The results of the survey indicated that most campus chaplains have had surprisingly little formal training with regard to cultic groups and often perceive faculty, staff, and students as requiring additional education regarding cult issues on college campuses.
Contributing Partner: UNT College of Information
Permallink:digital.library.unt.edu/ark:/67531/metadc31080/