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  Partner: UNT College of Engineering
FALCON: Boosting Knowledge for Answer Engines
This paper discusses FALCON, an answer engine that integrates different forms of syntactic, semantic and pragmatic knowledge for the goal of achieving better performance. digital.library.unt.edu/ark:/67531/metadc83296/
Document Indexing using Named Entities
This article discusses document indexing using named entities. digital.library.unt.edu/ark:/67531/metadc83311/
The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering
This article discusses the role of lexico-semantic feedback in open-domain textual question-answering. digital.library.unt.edu/ark:/67531/metadc81390/
Aberturas del dosel y espectro de la luz en el sotobosque de una selva nublada andina de Venezuela
Article on canopy gaps and understory light spectrum in a Venezuelan Andean cloud forest. digital.library.unt.edu/ark:/67531/metadc330574/
Multicell CDMA Network Design
This article discusses multicell CDMA network design. digital.library.unt.edu/ark:/67531/metadc30815/
Automatic generation of a coarse grained WordNet
This paper discusses automatic generation of a coarse grained WordNet. digital.library.unt.edu/ark:/67531/metadc83310/
eXtended WordNet: progress report
This paper discusses eXtended WordNet. digital.library.unt.edu/ark:/67531/metadc83309/
Answering complex, list and context questions with LCC's Question-Answering Server
This paper presents the architecture of the Question-Answering server (QAS) developed at the Language Computer Corporation (LCC) and used in the TREC-10 evaluations. digital.library.unt.edu/ark:/67531/metadc83297/
Efficient Energy Saving Scheme for On-Chip Caches
This paper discusses efficient energy saving techniques for on-chip caches, focusing especially on drowsy cache schemes. digital.library.unt.edu/ark:/67531/metadc94293/
Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks
Article discussing a resource efficient and scalable approach to routing in large communication networks. digital.library.unt.edu/ark:/67531/metadc111275/
Cell Design to Maximize Capacity in CDMA Networks
This presentation discusses the code division multiple access (CDMA) inter-cell effects, capacity regions, maximizing network capacity, mobility, a call admission control algorithm, and network performance. digital.library.unt.edu/ark:/67531/metadc30929/
CDMA Network Design
This presentation gives an overview of code-division multiple access (CDMA) and inter-cell effects, network capacities, sensitivity analysis of base station locations, pilot-signal power, and transmission power of the mobiles, and concludes with numerical results. digital.library.unt.edu/ark:/67531/metadc30928/
The Semantic Wildcard
This paper introduces the semantic wildcard, one of the most powerful operators implemented in IRSLO, which allows for searches along general-specific lines. digital.library.unt.edu/ark:/67531/metadc83308/
Open Mind Word Expert: Creating Large Data Collections with Web Users' Help
This article discusses Open Mind Word Expert (OMWE), a system that aims to tap people's ability to disambiguate words and to give computers the benefit of people's knowledge. digital.library.unt.edu/ark:/67531/metadc83294/
Building a Sense Tagged Corpus with Open Mind Word Expert
This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web. digital.library.unt.edu/ark:/67531/metadc81389/
Dynamic Agent Population in Agent-Based Distance Vector Routing
This paper discusses dynamic agent population in agent-based distance vector routing. digital.library.unt.edu/ark:/67531/metadc132968/
Instance Based Learning with Automatic Feature Selection Applied to Word Sense Disambiguation
This paper discusses instance based learning with automatic feature selection applied to word sense disambiguation. digital.library.unt.edu/ark:/67531/metadc30943/
Letter Level Learning for Language Independent Diacritics Restoration
This paper discusses letter level learning for language independent diacritics restoration. digital.library.unt.edu/ark:/67531/metadc30944/
Classifier Stacking and Voting for Text Filtering
This article discusses classifier stacking and voting for text filtering. digital.library.unt.edu/ark:/67531/metadc30942/
Word Sense Disambiguation with Pattern Learning and Automatic Feature Selection
Article discussing word sense disambiguation with pattern learning and automatic feature selection. digital.library.unt.edu/ark:/67531/metadc30945/
Performance Analysis of a Part of Speech Tagging Task
This article discusses performance analysis of a part of speech tagging task. digital.library.unt.edu/ark:/67531/metadc30950/
Creating Large Annotated Data Collections with Web Users' Help
This paper discusses creating annotated data collections. digital.library.unt.edu/ark:/67531/metadc30949/
An Evaluation Exercise for Word Alignment
This paper discusses an evaluation exercise for word alignment. digital.library.unt.edu/ark:/67531/metadc30946/
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. digital.library.unt.edu/ark:/67531/metadc303211/
Exploiting Agreement and Disagreement of Human Annotators for Word Sense Disambiguation
This paper discusses word sense disambiguation. digital.library.unt.edu/ark:/67531/metadc30948/
The Role of Non-Ambiguous Words in Natural Language Disambiguation
This article discusses the role of non-ambiguous words in natural language disambiguation. digital.library.unt.edu/ark:/67531/metadc30951/
Building Multilingual Semantic Networks with Non-Expert Contributions over the Web
This paper discusses building multilingual semantic networks. digital.library.unt.edu/ark:/67531/metadc30947/
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. digital.library.unt.edu/ark:/67531/metadc94282/
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%. digital.library.unt.edu/ark:/67531/metadc30961/
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. digital.library.unt.edu/ark:/67531/metadc96819/
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. digital.library.unt.edu/ark:/67531/metadc30955/
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. digital.library.unt.edu/ark:/67531/metadc30956/
Impact of Interference Model on Capacity in CDMA Cellular Networks
This paper discusses an impact of interference model on capacity in CDMA cellular networks. digital.library.unt.edu/ark:/67531/metadc30817/
Open Text Semantic Parsing Using FrameNet and WordNet
This article discusses open text semantic parsing using FrameNet and WordNet. digital.library.unt.edu/ark:/67531/metadc30959/
An Evaluation Exercise for Romanian Word Sense Disambiguation
This paper discusses an evaluation exercise for Romanian word sense disambiguation. digital.library.unt.edu/ark:/67531/metadc30954/
Global versus Local Call Admission Control in CDMA Cellular Networks
This paper discusses global versus local call admission control. digital.library.unt.edu/ark:/67531/metadc30816/
Global versus Local Call Admission Control in CDMA Cellular Networks [Presentation]
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. digital.library.unt.edu/ark:/67531/metadc30931/
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. digital.library.unt.edu/ark:/67531/metadc30957/
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. digital.library.unt.edu/ark:/67531/metadc30932/
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. digital.library.unt.edu/ark:/67531/metadc30963/
The SENSEVAL-3 Multilingual English-Hindi Lexical Sample Task
This paper describes the English-Hindi Multilingual lexical sample task in SENSEVAL-3. digital.library.unt.edu/ark:/67531/metadc30964/
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. digital.library.unt.edu/ark:/67531/metadc30962/
An Algorithm for Open Text Semantic Parsing
This paper describes an algorithm for open text shallow semantic parsing. digital.library.unt.edu/ark:/67531/metadc30953/
PageRank on Semantic Networks, with Application to Word Sense Disambiguation
This article discusses PageRank on semantic networks, with application to word sense disambiguation. digital.library.unt.edu/ark:/67531/metadc30960/
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. digital.library.unt.edu/ark:/67531/metadc30933/
Subscriber Maximization in CDMA Cellular Networks
This paper discusses subscriber maximization in CDMA cellular networks. digital.library.unt.edu/ark:/67531/metadc30818/
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. digital.library.unt.edu/ark:/67531/metadc30952/
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. digital.library.unt.edu/ark:/67531/metadc30930/
Making Sense Out of the Web
This paper discusses the main lines of research in deriving efficient Word Sense Disambiguation. digital.library.unt.edu/ark:/67531/metadc30958/
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. digital.library.unt.edu/ark:/67531/metadc30973/