UNT Scholarly Works - 157 Matching Results

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Abstraction Augmented Markov Models
Article discussing the abstraction augmented Markov models.
AC 2007-1844: An Innovative Mechanical and Energy Engineering Curriculum
This paper discusses the addition of a new Department of Mechanical and Energy Engineering at the University of North Texas (UNT). Those involved see the curriculum for this new program as a new model of engineering education that parallels the innovations of UNTs current Learning to Learn (L2L) project-oriented concept course with the addition of innovative approaches for mechanical engineering and emphasis on energy engineering education.
An Algorithm for Open Text Semantic Parsing
This paper describes an algorithm for open text shallow semantic parsing.
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.
Anchor Nodes Placement for Effective Passive Localization
This paper discusses anchor nodes placement for effective passive localization. The authors show that, for effective passive localization, the optimal placement of the anchor nodes is at the center of the network in such a way that no three anchor nodes share linearity.
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.
Approximating User Distributions in WCDMA Networks Using 2-D Gaussian
This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian.
Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results
This paper discusses efforts to attract and retain students in computer science and engineering fields.
Automated measurement of quality of mucosa inspection for colonscopy
This paper from the International Conference on Computational Science conference proceedings presents new methods that derive a new quality metric for automated scoring of quality of mucosa inspection performed by the endoscopist.
Automatic Extraction of Implicit Interpretations from Modal Constructions
This paper presents an approach to extract implicit interpretations from modal constructions.
Automatic Generation and Classification of Minimal Meaningful Propositions in Educational Systems
This paper introduces a new representation of sentences--Minimal Meaningful Propositions (MMPS), which allows significant improvement of the mapping between a learner's answer and the ideal response.
Automatic Generation and Scoring of Positive Interpretations from Negated Statements
This paper presents a methodology to extract positive interpretations from negated statements.
Automatic generation of a coarse grained WordNet
This paper discusses automatic generation of a coarse grained WordNet.
Automatic Keyword Extraction for Learning Object Repositories
This article discusses automatic keyword extraction for learning object repositories.
An Automatic Method for Generating Sense Tagged Corpora
This paper discusses an automatic method for generating sense tagged corpora.
BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
This paper discusses BABYLON parallel text builder.
Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long
This paper complements semantic role representations with spatial knowledge beyond indicating plain locations.
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.
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.
Building Multilingual Semantic Networks with Non-Expert Contributions over the Web
This paper discusses building multilingual semantic 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.
Channel Assignment and Load Distribution in a Power-Managed WLAN
This paper discusses a proposed algorithm.
Channel Assignment in an IEEE 802.11 WLAN Based on Signal-to-Interference Ratio
This article discusses channel assignment in an IEEE 802.11 WLAN based on signal-to-interference ratio.
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.
Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach
This paper proposes a supervised model for keyphrase extraction from research papers, which are embedded in citation networks.
Classification of Attributes and Behavior in Risk Management Using Bayesian Networks
This paper discusses issues in security.
Classifier Stacking and Voting for Text Filtering
This article discusses classifier stacking and voting for text filtering.
Classifying Scientific Publications Using Abstract Features
Article discussing classifying scientific publications using abstract features.
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.
Co-Training for Topic Classification of Scholarly Data
This paper describes a co-training approach that uses the text and citation information of a research article as two different views to predict the topic of an article.
Co-training over Domain-independent and Domain-dependent Features for Sentiment Analysis of an Online Cancer Support Community
Paper on co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community.
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces
Article on combining hashing and abstraction in sparse high dimensional feature spaces.
Combining Lexical Resources for Contextual Synonym Expansion
This paper discusses combining lexical resources for contextual synonym expansion.
Computational Laughing: Automatic Recognition of Humorous One-liners
This paper discusses automatic recognition of humor.
Computational Models for Incongruity Detection in Humour
In this paper, the authors explore several computational models for incongruity resolution.
Corpus-based and Knowledge-based Measures of Text Semantic Similarity
This article discusses corpus-based and knowledge-based measures of text semantic similarity.
A Corpus-based Approach to Finding Happiness
This paper discusses how to locate emotions.
A Cost-Effective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications
This paper from the 9th International Conference on Future Networks and Communications, FNC 2014 conference proceedings presents a low-cost indoor air quality monitoring wireless sensor network system developed using Arduino, XBee modules, and micro gas sensors.
Creating a Testbed for the Evaluation of Automatically Generated Back-of-the-book Indexes
This paper discusses automatic generating of back-of-the-book indexes.
Creating Large Annotated Data Collections with Web Users' Help
This paper discusses creating annotated data collections.
Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge
This paper discusses cross-lingual semantic relatedness using encyclopedic knowledge.
Cyber-Physical Systems Can Make Emergency Response Smart
This paper from the Humanitarian Technology: Science, Systems and Global Impact 2015 conference proceedings discusses the Smart Emergency Response System prototype built in the context of the SmartAmerica Challenge 2013-2014 by a team of nine organizations led by MathWorks.
The Decomposition of Human-Written Book Summaries
In this paper, the authors evaluate the extent to which human-written book summaries can be obtained through cut-and-paste operations from the original book. The authors analyze the effect of the parameters involved in the decomposition algorithm, and highlight the distinctions in coverage obtained for different summary types.
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network
This paper applies a deep long-short term memory (LSTM) structure to classify dialogue acts in open-domain conversations.
Dynamic Agent Population in Agent-Based Distance Vector Routing
This paper discusses dynamic agent population in agent-based distance vector routing.
Dynamic Channel Assignment in IEEE 802.11 Networks
This paper discusses dynamic channel assignment in IEEE 802.11 networks.
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.
An Efficient Non-Preemptive Real-Time Scheduling
This paper discusses non-preemptive, real-time scheduling.
Enhanced Channel Assignment and Load Distribution in IEEE 802.11 WLANs
This paper discusses enhanced channel assignment and load distribution in IEEE 802.11 WLANs.
Enhancing the Undergraduate Research Experience in a Senior Design Context
This paper discusses enhancing the undergraduate research experience in a senior design context.