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UNT College of Engineering
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2000-2009
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UNT Scholarly Works
A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources
Date: May 2008
Creator: Banea, Carmen; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Description: Abstract: This paper introduces a method for creating a subjectivity lexicon for languages with scarce resources. The method is able to build a subjectivity lexicon by using a small seed set of subjectivity words, and online dictionary, and a small raw corpus, coupled with a bootstrapping process that ranks new candidate words based on a similarity measure. Experiments performed with a rule-based sentence level subjectivity classifier show an 18% absolute improvement in F-measure as compared to previously proposed semi-supervised methods.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc31002/
Building a Sense Tagged Corpus with Open Mind Word Expert
Date: July 2002
Creator: Chklovski, Timothy & Mihalcea, Rada
Description: This paper discusses Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web. It is available at http://teach-computers.org. The authors expect the system to yield a large volume of high-quality training data at a much lower cost than the traditional method of hiring lexicographers. The authors thus propose a Senseval-3 lexical sample activity where the training data is collected via Open Mind Word Expert. If successful, the collection process can be extended to create the definitive corpus of word sense information.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc81389/
Building Multilingual Semantic Networks with Non-Expert Contributions over the Web
Date: November 2003
Creator: Ayewah, Nathanial; Mihalcea, Rada, 1974- & Nastase, Vivi
Description: This paper discusses building multilingual semantic networks. Abstract: We present a system that allows non-expert Web users to contribute towards building a multilingual lexical resource. Our study focuses on the Romanian-English language pair, and the target resource is a Romanian WordNet strongly connected to the English WordNet. We use a bilingual dictionary, a monolingual definition dictionary and documents on the Web to build synsets, attach them a gloss, and provide some examples. The results of the semi-automatic acquisition system are judged by two human judges, and they are compared to automatic approaches to building a Romanian WordNet.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30947/
Call Admission Control Scheme for Arbitrary Traffic Distribution in CDMA Cellular Systems
Date: September 2000
Creator: Akl, Robert G.; Hegde, Manju V.; Naraghi-Pour, Mort & Min, Paul S.
Description: This presentation discusses call admission control (CAC). The authors define a set of feasible call configurations that results in a CAC algorithm that captures the effect of having an arbitrary traffic distribution and whose complexity scales linearly with the number of cells.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc81374/
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control
Date: January 2006
Creator: Akl, Robert G. & Nguyen, Son
Description: This presentation discusses user and interference models, wideband code division multiple access (WCDMA) capacity with perfect and imperfect power control, and spreading factors with numerical results.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30937/
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control
Date: January 2006
Creator: Akl, Robert G. & Nguyen, Son
Description: This paper discusses capacity allocation in multi-cell UMTS networks. Abstract: An analytical model for calculating capacity in multi-cell UMTS networks is presented. Capacity is maximized for different spreading factors and for perfect and imperfect power control. An analytical model is presented for approximating the user distributions in multi-cell third generation WCDMA networks using 2-dimensional Gaussian distributions by determining the means and the standard deviations of the distribution for every cell. This allows for the calculation of the inter-cell interference and the reverse-link capacity of the network. The capacity was determined for signal-to-interference threshold from 5 dB to 10 dB and spreading factor values of 256, 64, 16, and 4.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30825/
CDMA Network Design
Date: May 2002
Creator: Akl, Robert G.
Description: This presentation gives an overview of code-division multiple access (CDMA) and inter-cell effects, network capacities, sensitivity analysis of base station locations, pilot-signal power, and transmission power of the mobiles, and concludes with numerical results.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30928/
Cell Design to Maximize Capacity in CDMA Networks
Date: April 2002
Creator: Akl, Robert G.
Description: This presentation discusses the code division multiple access (CDMA) inter-cell effects, capacity regions, maximizing network capacity, mobility, a call admission control algorithm, and network performance.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30929/
Channel Assignment and Load Distribution in a Power-Managed WLAN
Date: 2007
Creator: Haidar, Mohamad; Akl, Robert G.; Al-Rizzo, Hussain Mudhaffar Younis, 1957- & Chan, Yupo
Description: This paper discusses a proposed algorithm. Abstract: For a Wireless Local Area Network (WLAN), the authors propose an algorithm based on power management of Access Points (APs) to improve load distribution and provide an improved channel assignment. The authors formulate an algorithm that adjusts the transmitted power of the beacon packets of the Most Congested Access Point (MCAP). The transmitted power of the data packets is not altered thus avoiding auto-rating. The algorithm then determines a user assignment that distributes the load efficiently. Finally, the authors apply a channel assignment algorithm to each AP with the objective of minimizing the total interference over the WLAN. Results show that the proposed algorithm is capable of significantly reducing the congestion at the MCAPs, providing better load distribution, and enhancing channel assignment.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30835/
Channel Assignment in an IEEE 802.11 WLAN Based on Signal-to-Interference Ratio
Date: May 2008
Creator: Haidar, Mohamad; Ghimire, Rabindra; Al-Rizzo, Hussain Mudhaffar Younis, 1957-; Akl, Robert G. & Chan, Yupo
Description: Abstract: In this paper, we propose a channel-assignment algorithm at the Access Points (APs) of a Wireless Local Area Network (WLAN) in order to maximize Signal-to-Interference Ratio (SIR) at the user level. It begins with the channel assignment at the APs, which is based on minimizing the total interference between APs. Based on this initial assignment, the authors calculate the SIR for each user. The algorithm can be applied to any WLAN, irrespective of the user distribution and user load. Results show that the proposed algorithm is capable of significantly increasing the SIR over the WLAN, which in turn improves throughput.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30844/