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17 Matching Results
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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 good 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.
Date:
June 2010
Creator:
Akkaya, Cem; Conrad, Alexander; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Object Type:
Paper
System:
The UNT Digital Library
Hybrid Approach for Energy-Aware Synchronization
This book chapter discusses a time synchronization scheme for wireless sensor networks that aims to save sensor battery power while maintaining network connectivity for as long as possible.
Date:
December 2010
Creator:
Akl, Robert G.; Saravanos, Yanos & Haidar, Mohamad
Object Type:
Book Chapter
System:
The UNT Digital Library
Classifying genes to the correct Gene Ontology Slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning
Article discussing research on classifying genes to the correct gene ontology slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning.
Date:
May 28, 2010
Creator:
Amthauer, Heather A. & Tsatsoulis, C. (Costas), 1962-
Object Type:
Article
System:
The UNT Digital Library
Multilingual Subjectivity: Are More Languages Better?
This paper discusses multilingual subjectivity.
Date:
August 2010
Creator:
Banea, Carmen; Mihalcea, Rada, 1974- & Wiebe, Janyce M.
Object Type:
Paper
System:
The UNT Digital Library
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models
Article discussing the semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.
Date:
October 26, 2010
Creator:
Caragea, Cornelia; Caragea, Doina; Silvescu, Adrian & Honavar, Vasant
Object Type:
Article
System:
The UNT Digital Library
Abstraction Augmented Markov Models
Article discussing the abstraction augmented Markov models.
Date:
December 2010
Creator:
Caragea, Cornelia; Silvescu, Adrian; Caragea, Doina & Honavar, Vasant
Object Type:
Paper
System:
The UNT Digital Library
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.
Date:
June 2010
Creator:
Ceylan, Hakan; Mihalcea, Rada, 1974-; Ozertem, Umut; Lloret, Elena & Palomar, Manuel
Object Type:
Paper
System:
The UNT Digital Library
Text and Structural Data Mining of Influenza Mentions in Web and Social Media
This article discusses text and structural data mining of influenza mentions in web and social media.
Date:
February 22, 2010
Creator:
Corley, Courtney; Cook, Diane J., 1963-; Mikler, Armin R. & Singh, Karan P.
Object Type:
Article
System:
The UNT Digital Library
To Annotate More Accurately or to Annotate More
This paper demonstrates that the greatest value for annotation lies in single annotating more data.
Date:
July 2010
Creator:
Dligach, Dmitriy; Nielsen, Rodney D. & Palmer, Martha
Object Type:
Paper
System:
The UNT Digital Library
Towards a Domain Independent Semantics: Enhancing Semantic Representation with Construction Grammar
This paper shows results from an investigation whether a classifier can be taught to identify these constructions and consideration of the hypothesis that identifying construction types can improve the semantic interpretation of previously unseen predicate uses.
Date:
June 2010
Creator:
Hwang, Jena D.; Nielsen, Rodney D. & Palmer, Martha
Object Type:
Paper
System:
The UNT Digital Library
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.
Date:
August 2010
Creator:
Leong, Chee Wee; Mihalcea, Rada, 1974- & Hassan, Samer
Object Type:
Paper
System:
The UNT Digital Library
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.
Date:
May 31, 2010
Creator:
Liu, Xuemin; Tavanapong, Wallapak; Wong, Johnny; Oh, JungHwan & de Groen, Piet C.
Object Type:
Paper
System:
The UNT Digital Library
Graph-based Ranking Algorithms for Text Processing
Patent relating to graph-based ranking algorithms for text processing.
Date:
March 9, 2005
Creator:
Mihalcea, Rada, 1974- & Tarau, Paul
Object Type:
Patent
System:
The UNT Digital Library
SemEval-2010 Task 2: Cross-Lingual Lexical Substitution
This article describes the SemEval-2010 Cross-Lingual Lexical Substitution task.
Date:
July 2010
Creator:
Mihalcea, Rada, 1974-; Sinha, Ravi & McCarthy, Diana
Object Type:
Paper
System:
The UNT Digital Library
Computational Models for Incongruity Detection in Humour
In this paper, the authors explore several computational models for incongruity resolution.
Date:
March 2010
Creator:
Mihalcea, Rada, 1974-; Strapparava, Carlo, 1962- & Pulman, Stephen
Object Type:
Paper
System:
The UNT Digital Library
Annotating and Identifying Emotions in Text
This book chapter discusses annotating and identifying emotions in text.
Date:
2010
Creator:
Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974-
Object Type:
Book Chapter
System:
The UNT Digital Library
Struct-NB: Predicting Protein-RNA Binding Sites Using Structural Features
Article discussing predicting protein-RNA binding sites using structural features.
Date:
January 15, 2010
Creator:
Towfic, Fadi; Caragea, Cornelia; Gemperline, David; Dobbs, Drena & Honavar, Vasant
Object Type:
Article
System:
The UNT Digital Library