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 Department: Computer Science and Engineering
 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
Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks

Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks

Date: March 25, 2002
Creator: Amin, Kaizar A. & Mikler, Armin R.
Description: Article discussing a resource efficient and scalable approach to routing in large communication networks.
Contributing Partner: UNT College of Engineering
An Algorithm for Open Text Semantic Parsing

An Algorithm for Open Text Semantic Parsing

Date: August 2004
Creator: Shi, Lei & Mihalcea, Rada, 1974-
Description: Abstract: This paper describes an algorithm for open text shallow semantic parsing. The algorithm relies on a frame dataset (FrameNet) and a semantic network (WordNet), to identify semantic relations between words in open text, as well as shallow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and constituents to be accessed and processed in a more meaningful way than syntactic parsing, moving the automation of understanding natural language text to a higher level.
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
Answering complex, list and context questions with LCC's Question-Answering Server

Answering complex, list and context questions with LCC's Question-Answering Server

Date: November 2001
Creator: Harabagiu, Sanda M.; Moldovan, Dan I.; Paşca, Marius. 1974-; Surdeanu, Mihai; Mihalcea, Rada, 1974-; Gîrju, Corina R. et al.
Description: 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.
Contributing Partner: UNT College of Engineering
Approximating User Distributions in WCDMA Networks Using 2-D Gaussian

Approximating User Distributions in WCDMA Networks Using 2-D Gaussian

Date: July 2005
Creator: Nguyen, Son & Akl, Robert G.
Description: This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian.
Contributing Partner: UNT College of Engineering
Architecture Support for 3D Obfuscation

Architecture Support for 3D Obfuscation

Date: May 2006
Creator: Gomathisankaran, Mahadevan & Tyagi, Akhilesh
Description: This article discusses architecture support for 3D obfuscation.
Contributing Partner: UNT College of Engineering
Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results

Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results

Date: June 2007
Creator: Keathly, David & Akl, Robert G.
Description: This paper discusses efforts to attract and retain students in computer science and engineering fields.
Contributing Partner: UNT College of Engineering
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