You limited your search to:

  Partner: UNT College of Engineering
 Collection: UNT Scholarly Works
Classification of Attributes and Behavior in Risk Management Using Bayesian Networks
This paper discusses issues in security.
UMTS Capacity and Throughput Maximization for Different Spreading Factors
This article discusses UMTS capacity and throughput maximization for different spreading factors.
An Efficient Non-Preemptive Real-Time Scheduling
This paper discusses non-preemptive, real-time scheduling.
Subscriber Maximization in CDMA Cellular Networks
This paper discusses subscriber maximization in CDMA cellular networks.
Impact of Interference Model on Capacity in CDMA Cellular Networks
This paper discusses an impact of interference model on capacity in CDMA cellular networks.
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control
This paper discusses capacity allocation in multi-cell UMTS networks.
Global versus Local Call Admission Control in CDMA Cellular Networks
This paper discusses global versus local call admission control.
A Non-Preemptive Scheduling Algorithm for Soft Real-Time Systems
This article discusses a non-preemptive scheduling algorithm for soft real-time systems.
Multicell CDMA Network Design
This article discusses multicell CDMA network design.
A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources
This article discusses a bootstrapping method for building subjectivity lexicons for languages with scarce resources.
Wikify! Linking Documents to Encyclopedic Knowledge
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.
Multilingual Subjectivity Analysis Using Machine Translation
This paper discusses multilingual subjectivity analysis using machine translation.
Using Wikipedia for Automatic Word Sense Disambiguation
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.
Networks and Natural Language Processing
Article discussing networks and natural language processing. The authors present some of the most successful graph-based representations and algorithms used in language processing and try to explain how and why they work.
BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
This paper discusses BABYLON parallel text builder.
Linguistically Motivated Features for Enhanced Back-of-the-Book Indexing
This paper discusses linguistically motivated features for enhanced back-of-the-book indexing.
Automatic Keyword Extraction for Learning Object Repositories
This article discusses automatic keyword extraction for learning object repositories.
Learning to Identify Emotions in Text
This paper discusses learning to identify emotions in text.
Linguistic Ethnography: Identifying Dominant Word Classes in Text
This paper discusses linguistic ethnography.
Learning to Identify Educational Materials
This paper discusses learning to identify educational materials.
The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language
This paper discusses explorations in the automatic recognition of deceptive language.
Subjectivity Word Sense Disambiguation
This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses.
Integrating Knowledge for Subjectivity Sense Labeling
This paper discusses integrating knowledge for subjectivity sense labeling.
Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge
This paper discusses cross-lingual semantic relatedness using encyclopedic knowledge.
Combining Lexical Resources for Contextual Synonym Expansion
This paper discusses combining lexical resources for contextual synonym expansion.
Text-to-text Semantic Similarity for Automatic Short Answer Grading
In this paper, the authors explore unsupervised techniques for the task of automatic short answer grading.
Multilingual Subjectivity: Are More Languages Better?
This paper discusses multilingual subjectivity.
Using Encyclopedic Knowledge for Automatic Topic Identification
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.
SemEval-2010 Task 2: Cross-Lingual Lexical Substitution
This article describes the SemEval-2010 Cross-Lingual Lexical Substitution task.
Topic Identification Using Wikipedia Graph Centrality
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.
Text Mining for Automatic Image Tagging
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.
Computational Models for Incongruity Detection in Humour
In this paper, the authors explore several computational models for incongruity resolution.
Quantifying the Limits and Success of Extractive Summarization Systems Across Domains
This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and legal documents.
Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation
In this paper, the authors discuss research on whether they can use Mechanical Turk (MTurk) to acquire goo annotations with respect to gold-standard data, whether they can filter out low-quality workers (spammers), and whether there is a learning effect associated with repeatedly completing the same kind of task.
Word Sense Disambiguation with Pattern Learning and Automatic Feature Selection
Article discussing word sense disambiguation with pattern learning and automatic feature selection.
Classifier Stacking and Voting for Text Filtering
This article discusses classifier stacking and voting for text filtering.
Robocamp: Encouraging Young Women to Embrace STEM
This presentation discusses Robocamp, a special summer camp that was created by the University of North Texas (UNT) Computer Science and Engineering department. Robocamp successfully promotes engineering among high school women.
Building Multilingual Semantic Networks with Non-Expert Contributions over the Web
This paper discusses building multilingual semantic networks.
Self-Configuring Wireless MEMS Network
This presentation discusses miniature, lightweight, self-powered wireless sensors, and networking software needs.
Exploiting Agreement and Disagreement of Human Annotators for Word Sense Disambiguation
This paper discusses word sense disambiguation.
Letter Level Learning for Language Independent Diacritics Restoration
This paper discusses letter level learning for language independent diacritics restoration.
Corpus-based and Knowledge-based Measures of Text Semantic Similarity
This article discusses corpus-based and knowledge-based measures of text semantic similarity.
Word Sense and Subjectivity
This paper discusses word sense and subjectivity.
A Corpus-based Approach to Finding Happiness
This paper discusses how to locate emotions.
Characterizing Humour: An Exploration of Features in Humorous Texts
This paper investigates the problem of automatic humor recognition, and provides an in-depth analysis of two of the most frequently observed features of humorous text: human-centeredness and negative polarity. Through experiments performed on two collections of humorous texts, the authors show that these properties of verbal humor are consisted across different data sets.
Explorations in Automatic Book Summarization
This paper discusses explorations in automatic book summarization.
NLP (Natural Language Processing) for NLP (Natural Language Programming)
This paper discusses Natural Language Processing (NLP).
Creating Large Annotated Data Collections with Web Users' Help
This paper discusses creating annotated data collections.
An Evaluation Exercise for Word Alignment
This paper discusses an evaluation exercise for word alignment.
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.