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  Partner: UNT College of Engineering
 Department: Computer Science and Engineering
 Decade: 2010-2019
 Collection: UNT Scholarly Works
Abstraction Augmented Markov Models

Abstraction Augmented Markov Models

Date: December 2010
Creator: Caragea, Cornelia; Silvescu, Adrian; Caragea, Doina & Honavar, Vasant
Description: Article discussing the abstraction augmented Markov models.
Contributing Partner: UNT College of Engineering
Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

Date: June 2010
Creator: Akkaya, Cem; Conrad, Alexander; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Description: 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.
Contributing Partner: UNT College of Engineering
Anchor Nodes Placement for Effective Passive Localization

Anchor Nodes Placement for Effective Passive Localization

Date: 2011
Creator: Akl, Robert G.; Pasupathy, Karthikeyan & Haidar, Mohamad
Description: 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.
Contributing Partner: UNT College of Engineering
Annotating and Identifying Emotions in Text

Annotating and Identifying Emotions in Text

Date: 2010
Creator: Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974-
Description: This book chapter discusses annotating and identifying emotions in text.
Contributing Partner: UNT College of Engineering
Classifying Drug Resistance in the NCI60 Cancer Cell Lines Based on the mRNA Expression Levels of the 48 ABC Transporters

Classifying Drug Resistance in the NCI60 Cancer Cell Lines Based on the mRNA Expression Levels of the 48 ABC Transporters

Date: March 2014
Creator: Alshammari, Sultanah M.; Urity, Vinoo & Azad, Rajeev K.
Description: Poster for the 2014 MCBIOS Conference. This poster discusses classifying drug resistance in the NCI60 cancer cell lines based on the mRNA expression levels of the 48 ABC transporters.
Contributing Partner: UNT College of Engineering
Classifying genes to the correct Gene Ontology Slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning

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-
Description: This article discusses classifying genes to the correct Gene Ontology Slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning. This provides insight into a gene's functionality in the eukaryotic genome.
Contributing Partner: UNT College of Engineering
Classifying Scientific Publications Using Abstract Features

Classifying Scientific Publications Using Abstract Features

Date: 2011
Creator: Caragea, Cornelia; Silvescu, Adrian; Kataria, Saurabh; Caragea, Doina & Mitra, Prasenjit
Description: Article discussing classifying scientific publications using abstract features.
Contributing Partner: UNT College of Engineering
Co-training over Domain-independent and Domain-dependent Features for Sentiment Analysis of an Online Cancer Support Community

Co-training over Domain-independent and Domain-dependent Features for Sentiment Analysis of an Online Cancer Support Community

Date: August 2013
Creator: Biyani, Prakhar; Caragea, Cornelia; Mitra, Prasenjit; Zhou, Chong; Yen, John; Portier, Kenneth et al.
Description: Paper on co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community.
Contributing Partner: UNT College of Engineering
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces

Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces

Date: 2012
Creator: Caragea, Cornelia; Silvescu, Adrian & Mitra, Prasenjit
Description: Article on combining hashing and abstraction in sparse high dimensional feature spaces.
Contributing Partner: UNT College of Engineering
Computational Models for Incongruity Detection in Humour

Computational Models for Incongruity Detection in Humour

Date: March 2010
Creator: Mihalcea, Rada, 1974-; Strapparava, Carlo, 1962- & Pulman, Stephen
Description: This paper discusses computational models for incongruity resolution. Abstract: Incongruity resolution is one of the most widely accepted theories of humor, suggesting that humor is due to the mixing of two disparate interpretation frames in one statement. In this paper, the authors explore several computational models for incongruity resolution. The authors introduce a new data set, consisting of a series of 'set-ups' (preparations for a punch line), each of them followed by four possible coherent continuations out of which only one has a comic effect. Using this data set, the authors redefine the task as the automatic identification of the humorous punch line among all the plausible endings. The authors explore several measures of semantic relatedness, along with a number of joke-specific features, and try to understand their appropriateness as computational models for incongruity detection.
Contributing Partner: UNT College of Engineering
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