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  Partner: UNT College of Engineering
 Decade: 2000-2009
 Year: 2004
 Collection: UNT Scholarly Works
WARM SRAM: A Novel Scheme to Reduce Static Leakage Energy in SRAM Arrays

WARM SRAM: A Novel Scheme to Reduce Static Leakage Energy in SRAM Arrays

Date: February 2004
Creator: Gomathisankaran, Mahadevan & Tyagi, Akhilesh
Description: This presentation accompanies a paper discussing research on a novel scheme to reduce static leakage energy in SRAM arrays.
Contributing Partner: UNT College of Engineering
How to Hide Secrets from Operating System: Architecture Level Support for Dynamic Address Trace Obfuscation

How to Hide Secrets from Operating System: Architecture Level Support for Dynamic Address Trace Obfuscation

Date: 2004
Creator: Gomathisankaran, Mahadevan & Tyagi, Akhilesh
Description: This technical report addresses how to hide secrets from an operating system. The authors provide a detailed design for the VM blackbox and some microarchitecture level simulation derived performance data. They also describe a compiler directed prefetch scheme that uses both instruction and data prefetches to obfuscate the address traces on the address bus between on-chip L2 cache and memory.
Contributing Partner: UNT College of Engineering
TextRank: Bringing Order into Texts

TextRank: Bringing Order into Texts

Date: July 2004
Creator: Mihalcea, Rada, 1974- & Tarau, Paul
Description: In this paper, the authors introduce TextRank, a graph-based ranking model for text processing, and show how this model can be successfully used in natural language applications.
Contributing Partner: UNT College of Engineering
SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text

SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text

Date: 2004
Creator: Mihalcea, Rada, 1974- & Faruque, Ehsanul
Description: This paper introduces SenseLearner - a minimally supervised sense tagger that attempts to disambiguate all content words in a text using the sense from WordNet. SenseLearner participated in the SENSEVAL-3 English all words task, and achieved an average accuracy of 64.6%.
Contributing Partner: UNT College of Engineering
PageRank on Semantic Networks, with Application to Word Sense Disambiguation

PageRank on Semantic Networks, with Application to Word Sense Disambiguation

Date: August 2004
Creator: Mihalcea, Rada, 1974-; Tarau, Paul & Figa, Elizabeth
Description: This article discusses PageRank on semantic networks, with application to word sense disambiguation.
Contributing Partner: UNT College of Engineering
The SENSEVAL-3 Multilingual English-Hindi Lexical Sample Task

The SENSEVAL-3 Multilingual English-Hindi Lexical Sample Task

Date: July 2004
Creator: Chklovski, Timothy A. (Timothy Anatolievich), 1977-; Mihalcea, Rada, 1974-; Pedersen, Ted & Purandare, Amruta
Description: This paper describes the English-Hindi Multilingual lexical sample task in SENSEVAL-3.
Contributing Partner: UNT College of Engineering
The SENSEVAL-3 English Lexical Sample Task

The SENSEVAL-3 English Lexical Sample Task

Date: July 2004
Creator: Mihalcea, Rada, 1974-; Chklovski, Timothy A. (Timothy Anatolievich), 1977- & Kilgarriff, Adam
Description: This paper presents the task definition, resources, participating systems, and comparative results for the English lexical sample task, which was organized as part of the SENSEVAL-3 evaluation exercise.
Contributing Partner: UNT College of Engineering
Impact of Interference Model on Capacity in CDMA Cellular Networks

Impact of Interference Model on Capacity in CDMA Cellular Networks

Date: July 2004
Creator: Akl, Robert G. & Parvez, Asad
Description: This presentation introduces code division multiple access (CDMA) networks, average and actual interference models, optimized capacity, and the 2D Gaussian user model.
Contributing Partner: UNT College of Engineering
Open Text Semantic Parsing Using FrameNet and WordNet

Open Text Semantic Parsing Using FrameNet and WordNet

Date: May 2004
Creator: Shi, Lei & Mihalcea, Rada, 1974-
Description: This article discusses open text semantic parsing using FrameNet and WordNet.
Contributing Partner: UNT College of Engineering
Finding Semantic Associations on Express Lane

Finding Semantic Associations on Express Lane

Date: May 2004
Creator: Nastase, Vivi & Mihalcea, Rada, 1974-
Description: This paper introduces a new codification scheme for efficient computation of measures in semantic networks. The scheme is particularly useful for fast computation of semantic associations between words and implementation of an informational retrieval operator for efficient search in semantic spaces. Other applications may also be possible.
Contributing Partner: UNT College of Engineering
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