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  Partner: UNT College of Engineering
 Resource Type: Paper
 Collection: UNT Scholarly Works
Tantra: A fast PRNG algorithm and its implementation

Tantra: A fast PRNG algorithm and its implementation

Date: June 2009
Creator: Gomathisankaran, Mahadevan & Lee, Ruby Bei-Loh
Description: This paper discusses Tantra. Tantra is a novel Pseudorandom number generator (PRNG) design that provides a long sequence high quality pseudorandom numbers at very high rate both in software and hardware implementations.
Contributing Partner: UNT College of Engineering
Text Mining for Automatic Image Tagging

Text Mining for Automatic Image Tagging

Date: August 2010
Creator: Leong, Chee Wee; Mihalcea, Rada, 1974- & Hassan, Samer
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.
Contributing Partner: UNT College of Engineering
Text Semantic Similarity, with Applications

Text Semantic Similarity, with Applications

Date: September 2005
Creator: Corley, Courtney; Csomai, Andras & Mihalcea, Rada, 1974-
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.
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
TextRank: Bringing Order into Texts

TextRank: Bringing Order into Texts

Date: July 2004
Creator: Mihalcea, Rada, 1974- & Tarau, Paul
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.
Contributing Partner: UNT College of Engineering
Thread Specific Features Are Helpful For Identifying Subjectivity Orientation of Online Forum Threads

Thread Specific Features Are Helpful For Identifying Subjectivity Orientation of Online Forum Threads

Date: October 2012
Creator: Biyani, Prakhar; Bhatia, Sumit; Caragea, Cornelia & Mitra, Prasenjit
Description: Paper discussing thread specific features for identifying subjectivity orientation of online forum threads.
Contributing Partner: UNT College of Engineering
Throughput Optimization in Multi-Cell CDMA Networks

Throughput Optimization in Multi-Cell CDMA Networks

Date: March 2005
Creator: Akl, Robert G.; Naraghi-Pour, Mort & Hegde, Manju V.
Description: In this paper, the authors investigate the performance of a multi-cell CDMA network by determining the maximum throughput that the network can archive for a given grade-of-service requirement, quality-of-service requirement, network topology and call arrival rate profile.
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
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
Transformational Paradigm for Engineering and Engineering Technology Education

Transformational Paradigm for Engineering and Engineering Technology Education

Date: November 2008
Creator: Barbieri, Enrique & Fitzgibbon, William
Description: This paper discusses a transformational paradigm for engineering and engineering technology education at the baccalaureate level.
Contributing Partner: UNT College of Engineering
Unsupervised Graph-based Word Sense Disambiguation Using Measures of Word Semantic Similarity

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

Date: September 2007
Creator: Sinha, Ravi & Mihalcea, Rada, 1974-
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.
Contributing Partner: UNT College of Engineering
Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling

Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling

Date: October 2005
Creator: Mihalcea, Rada, 1974-
Description: This paper introduces a graph-based algorithm for sequence data labeling, using random walks on graphs encoding label dependencies. The algorithm is illustrated and tested in the context of an unsupervised word sense disambiguation problem, and shown to significantly outperform the accuracy achieved through individual label assignment, as measured on standard sense-annotated data sets.
Contributing Partner: UNT College of Engineering
UNT: SubFinder: Combining Knowledge Sources for Automatic Lexical Substitution

UNT: SubFinder: Combining Knowledge Sources for Automatic Lexical Substitution

Date: June 2007
Creator: Hassan, Samer; Csomai, Andras; Banea, Carmen; Sinha, Ravi & Mihalcea, Rada, 1974-
Description: This paper describes the University of North Texas SubFinder system. The system is able to provide the most likely set of substitutes for a word in a given context, by combining several techniques and knowledge sources. SubFinder has successfully participated in the best and out of ten (oot) tracks in the SEMEVAL lexical substitution task, consistently ranking in the first or second place.
Contributing Partner: UNT College of Engineering
UNT-Yahoo: SuperSenseLearner: Combining SenseLearner with SuperSense and other Coarse Semantic Features

UNT-Yahoo: SuperSenseLearner: Combining SenseLearner with SuperSense and other Coarse Semantic Features

Date: June 2007
Creator: Mihalcea, Rada, 1974-; Csomai, Andras & Ciaramita, Massimiliano
Description: This paper discusses combining SenseLearner with SuperSence and other coarse semantic features.
Contributing Partner: UNT College of Engineering
Using Encyclopedic Knowledge for Automatic Topic Identification

Using Encyclopedic Knowledge for Automatic Topic Identification

Date: May 2009
Creator: Coursey, Kino High; Mihalcea, Rada, 1974- & Moen, William E.
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.
Contributing Partner: UNT College of Engineering
Using the Essence of Texts to Improve Document Classification

Using the Essence of Texts to Improve Document Classification

Date: September 2005
Creator: Mihalcea, Rada, 1974- & Hassan, Samer
Description: This article discusses using the essence of texts to improve document classification.
Contributing Partner: UNT College of Engineering
Using Wikipedia for Automatic Word Sense Disambiguation

Using Wikipedia for Automatic Word Sense Disambiguation

Date: April 2007
Creator: Mihalcea, Rada, 1974-
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.
Contributing Partner: UNT College of Engineering
Wikify! Linking Documents to Encyclopedic Knowledge

Wikify! Linking Documents to Encyclopedic Knowledge

Date: November 2007
Creator: Mihalcea, Rada, 1974- & Csomai, Andras
Description: This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks.
Contributing Partner: UNT College of Engineering
Wireless Sensor Network System Design using Raspberry Pi and Arduino for Environmental Monitoring Applications

Wireless Sensor Network System Design using Raspberry Pi and Arduino for Environmental Monitoring Applications

Date: August 15, 2014
Creator: Ferdoush, Sheikh & Li, Xinrong
Description: This paper from the 9th International Conference on Future Networks and Communications, FNC 2014 conference proceedings describes a wireless sensor network system developed using open-source hardware platforms, Arduino and Raspberry Pi.
Contributing Partner: UNT College of Engineering
Word Alignment for Languages with Scarce Resources

Word Alignment for Languages with Scarce Resources

Date: June 2005
Creator: Martin, Joel; Mihalcea, Rada, 1974- & Pedersen, Ted
Description: This paper presents the task definition, resources, participating systems, and comparative results for the shared task on word alignment which was organized as part of the Association for Computational Linguistics (ACL) 2005 Workshop on Building and Using Parallel Texts. The shared task included English-Inuktitut, Romanian-English, and English-Hindi sub-tasks, and drew the participation of ten teams from around the world with a total of 50 systems.
Contributing Partner: UNT College of Engineering
Word Sense and Subjectivity

Word Sense and Subjectivity

Date: July 2006
Creator: Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Description: This paper discusses word sense and subjectivity.
Contributing Partner: UNT College of Engineering
Word Sense Disambiguation based on Semantic Density

Word Sense Disambiguation based on Semantic Density

Date: August 1998
Creator: Mihalcea, Rada, 1974- & Moldovan, Dan I.
Description: This article discusses word sense disambiguation based on semantic density.
Contributing Partner: UNT College of Engineering
A WordNet-Based Interface to Internet Search Engines

A WordNet-Based Interface to Internet Search Engines

Date: May 1998
Creator: Moldovan, Dan I. & Mihalcea, Rada, 1974-
Description: This paper discusses a WordNet-based interface to Internet search engines.
Contributing Partner: UNT College of Engineering
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