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  Partner: UNT College of Engineering
 Decade: 2000-2009
 Collection: UNT Scholarly Works
Current Research in Wireless at UNT

Current Research in Wireless at UNT

Date: October 2004
Creator: Akl, Robert G.
Description: This presentation discusses wireless networks, access point selections, traffic balancing, multi-cell CDMA, user distribution modeling, and call admission control.
Contributing Partner: UNT College of Engineering
Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization

Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization

Date: July 2004
Creator: Mihalcea, Rada, 1974-
Description: Abstract: This paper presents an innovative unsupervised method for automatic sentence extraction using graph-based ranking algorithms. We evaluate the method in the context of a text summarization task, and show that the results obtained compare favorably with previously published results on established benchmarks.
Contributing Partner: UNT College of Engineering
Finding Semantic Associations on Express Lane

Finding Semantic Associations on Express Lane

Date: May 2004
Creator: Nastase, Vivi & Mihalcea, Rada, 1974-
Description: This paper introduces a new codification scheme for efficient computation of measures in semantic networks. The scheme is particularly useful for fast computation of semantic associations between words and implementation of an informational retrieval operator for efficient search in semantic spaces. Other applications may also be possible.
Contributing Partner: UNT College of Engineering
Energy-Aware Routing and Hybrid Synchronization in Sensor Networks

Energy-Aware Routing and Hybrid Synchronization in Sensor Networks

Date: September 2007
Creator: Akl, Robert G.
Description: This presentation discusses the research of sensor synchronization, sensor grid routing, and voice over internet protocol (VoIP).
Contributing Partner: UNT College of Engineering
Self-Configuring Wireless MEMS Network

Self-Configuring Wireless MEMS Network

Date: January 2008
Creator: Akl, Robert G.; Kavi, Krishna M. & El Rewini, Hesham
Description: This presentation discusses miniature, lightweight, self-powered wireless sensors, and networking software needs.
Contributing Partner: UNT College of Engineering
[Review] The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data

[Review] The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data

Date: March 2008
Creator: Mihalcea, Rada, 1974-
Description: This book review discusses 'The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data' by Ronen Feldman and James Sanger. The book is an introduction to text mining, covering the general architecture of text mining systems, along with the main techniques used by such systems.
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
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
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
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