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open access

Grid-based Coordinated Routing in Wireless Sensor Networks

Description: This paper discusses grid-based coordinated routing in wireless sensor networks and compares the energy available in the network over time for different grid sizes. The authors explore the quality of service of wireless sensor networks, how the coordinator nodes are elected, and the size of the grid area that will minimize the total energy consumption and extend the lifetime of the network.
Date: January 2007
Creator: Akl, Robert G. & Sawant, Uttara
Partner: UNT College of Engineering
open access

Robocamp: Encouraging Young Women to Embrace STEM

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.
Date: February 2009
Creator: Akl, Robert G. & Keathly, David
Partner: UNT College of Engineering
open access

The Multidisciplinary Facets of Research on Humour

Description: In this paper, the authors summarize the main theories of humor that emerged from philosophical and modern psychological research, and survey the past and present developments in the fields of theoretical and computational linguistics.
Date: July 2007
Creator: Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

Learning to Identify Emotions in Text

Description: This paper discusses learning to identify emotions in text.
Date: March 2008
Creator: Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

An Algorithm for Open Text Semantic Parsing

Description: This paper describes an algorithm for open text shallow semantic parsing.
Date: August 2004
Creator: Shi, Lei & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

Making Sense Out of the Web

Description: This paper discusses the main lines of research in deriving efficient Word Sense Disambiguation.
Date: November 2004
Creator: Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

Text Semantic Similarity, with Applications

Description: In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.
Date: September 2005
Creator: Corley, Courtney; Csomai, Andras & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

Topic Identification Using Wikipedia Graph Centrality

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.
Date: May 2009
Creator: Coursey, Kino High & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

Using Encyclopedic Knowledge for Automatic Topic Identification

Description: This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotations.
Date: May 2009
Creator: Coursey, Kino High; Mihalcea, Rada, 1974- & Moen, William E.
Partner: UNT College of Engineering
open access

Using Wikipedia for Automatic Word Sense Disambiguation

Description: This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.
Date: April 2007
Creator: Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

Unsupervised Graph-based Word Sense Disambiguation Using Measures of Word Semantic Similarity

Description: This paper describes an unsupervised graph-based method for word sense disambiguation, and presents comparative evaluations using several measures of word semantic similarity and several algorithms for graph centrality. The results indicate that the right combination of similarity metrics and graph centrality algorithms can lead to a performance competing with the state-of-the-art in unsupervised word sense disambiguation, as measured on standard data sets.
Date: September 2007
Creator: Sinha, Ravi & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
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