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  Partner: UNT College of Engineering
Heterogeneidad estructural y lumínica del sotobosque de una selva nublada andina de Venezuela
Article discussing the understory of an Andean cloud forest in the Sierra Nevada National Park, Venezuela.
Exploiting Agreement and Disagreement of Human Annotators for Word Sense Disambiguation
This paper discusses word sense disambiguation.
The Role of Non-Ambiguous Words in Natural Language Disambiguation
This article discusses the role of non-ambiguous words in natural language disambiguation.
Building Multilingual Semantic Networks with Non-Expert Contributions over the Web
This paper discusses building multilingual semantic networks.
How to Hide Secrets from Operating System: Architecture Level Support for Dynamic Address Trace Obfuscation
This technical report addresses how to hide secrets from an operating system. The authors provide a detailed design for the VM blackbox and some microarchitecture level simulation derived performance data. They also describe a compiler directed prefetch scheme that uses both instruction and data prefetches to obfuscate the address traces on the address bus between on-chip L2 cache and memory.
SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text
This paper introduces SenseLearner - a minimally supervised sense tagger that attempts to disambiguate all content words in a text using the sense from WordNet. SenseLearner participated in the SENSEVAL-3 English all words task, and achieved an average accuracy of 64.6%.
WARM SRAM: A Novel Scheme to Reduce Static Leakage Energy in SRAM Arrays
This presentation accompanies a paper discussing research on a novel scheme to reduce static leakage energy in SRAM arrays.
Co-training and Self-training for Word Sense Disambiguation
This paper investigates the application of co-training and self-training to word sense disambiguation. Optimal and empirical parameter selection methods for co-training and self-training are investigated, with various degrees of error reduction. A new method that combines co-training with majority voting is introduced, with the effect of smoothing the bootstrapping learning curves, and improving the average performance.
Finding Semantic Associations on Express Lane
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.
Impact of Interference Model on Capacity in CDMA Cellular Networks
This paper discusses an impact of interference model on capacity in CDMA cellular networks.
Open Text Semantic Parsing Using FrameNet and WordNet
This article discusses open text semantic parsing using FrameNet and WordNet.
An Evaluation Exercise for Romanian Word Sense Disambiguation
This paper discusses an evaluation exercise for Romanian word sense disambiguation.
Global versus Local Call Admission Control in CDMA Cellular Networks
This presentation discusses interference model impacts on capacity, global call admission controls, local call admission controls, and the differences in global versus local call admission controls.
Global versus Local Call Admission Control in CDMA Cellular Networks
This paper discusses global versus local call admission control.
Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization
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.
Impact of Interference Model on Capacity in CDMA Cellular Networks
This presentation introduces code division multiple access (CDMA) networks, average and actual interference models, optimized capacity, and the 2D Gaussian user model.
The SENSEVAL-3 English Lexical Sample Task
This paper presents the task definition, resources, participating systems, and comparative results for the English lexical sample task, which was organized as part of the SENSEVAL-3 evaluation exercise.
The SENSEVAL-3 Multilingual English-Hindi Lexical Sample Task
This paper describes the English-Hindi Multilingual lexical sample task in SENSEVAL-3.
TextRank: Bringing Order into Texts
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.
An Algorithm for Open Text Semantic Parsing
This paper describes an algorithm for open text shallow semantic parsing.
PageRank on Semantic Networks, with Application to Word Sense Disambiguation
This article discusses PageRank on semantic networks, with application to word sense disambiguation.
Subscriber Maximization in CDMA Cellular Networks
This presentation gives an overview of code division multiple access (CDMA), traffic and mobility models, subscriber optimization formulation, and numerical results.
Subscriber Maximization in CDMA Cellular Networks
This paper discusses subscriber maximization in CDMA cellular networks.
A Logic Programming Framework for Semantic Interpretation with WordNet and PageRank
This paper discusses a logic programming framework for semantic interpretation with WordNet and PageRank.
Current Research in Wireless at UNT
This presentation discusses wireless networks, access point selections, traffic balancing, multi-cell CDMA, user distribution modeling, and call admission control.
Making Sense Out of the Web
This paper discusses the main lines of research in deriving efficient Word Sense Disambiguation.
Putting Pieces Together: Combining FrameNet, VerbNet and WordNet for Robust Semantic Parsing
This paper describes the authors' work in integrating three different lexical resources: FrameNet, VerbNet, and WordNet, into a unified, richer knowledge-base, to the end of enabling more robust semantic parsing.
Effects of Interference on Capacity in Multi-Cell CDMA Networks
This article discusses the effects of interference on capacity in multi-cell CDMA networks.
Mobility-Based CAC Algorithm for Arbitrary Call-Arrival Rates in CDMA Cellular Systems
Article on a mobility-based CAC algorithm for arbitrary call-arrival rates in CDMA cellular systems.
PicNet: Augmenting Semantic Resources with Pictorial Representations
In this paper, the authors introduce PicNet, a Web-based system for augmenting semantic resources with illustrative images using volunteer contributions over the Web.
Semantic Document Engineering with WordNet and PageRank
This article discusses semantic document engineering with WordNet and PageRank.
Throughput Optimization in Multi-Cell CDMA Networks
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.
WiFi and WCDMA Network Design
This presentation discusses WiFi access point selection and traffic balancing, multi-cell wideband code division multiple access (WCDMA) with multiple classes, user modeling using 2D Gaussian distribution, and intra-cell and inter-cell interference and capacity.
Multi-Document Summarization with Iterative Graph-based Algorithms
This paper discusses multi-document synchronization with iterative graph-based algorithms.
Relaciones alométricas y patrones de crecimiento para especies de árboles de la reserva forestal Imataca, Venezuela
Article discussing allometric relations and growth patterns for tree species in the Imataca Forest Reserve, Venezuela.
Measuring the Semantic Similarity of Texts
This paper discusses measuring the semantic similarity of texts.
SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text
This paper describes SenseLearner, a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses.
Word Alignment for Languages with Scarce Resources
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.
Approximating User Distributions in WCDMA Networks Using 2-D Gaussian
This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian.
Computational Laughing: Automatic Recognition of Humorous One-liners
This paper discusses automatic recognition of humor.
Language Independent Extractive Summarization
This paper discusses language independent extractive summarization.
Optimal Access Point Selection and Traffic Allocation in IEEE 802.11 Networks
This paper discusses optimal access point selection and the traffic allocation in IEEE 802.11 networks.
Method for Removing Contaminants on a Substrate
Patent relating to a method for removing contaminants on a substrate.
An Efficient Non-Preemptive Real-Time Scheduling
This paper discusses non-preemptive, real-time scheduling.
Parallel Texts
Article discussing parallel texts and natural language processing.
Text Semantic Similarity, with Applications
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.
Using the Essence of Texts to Improve Document Classification
This article discusses using the essence of texts to improve document classification.
A Language Independent Algorithm for Single and Multiple Document Summarization
This paper discusses a language independent algorithm for single and multiple document summarization.
Making Computers Laugh: Investigations in Automatic Humor Recognition
This paper discusses investigations in automatic humor recognition.
Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling
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.