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The Semantic Wildcard
Date: May 2002
Creator: Mihalcea, Rada
Description: This paper introduces the semantic wildcard. The IRSLO (Information Retrieval using Semantic and Lexical Operators) project aims at integrating semantic and lexical information into the retrieval process, in order to overcome some of the impediments currently encountered with today's information retrieval systems. This paper introduces the semantic wildcard, one of the most powerful operators implemented in IRSLO, which allows for searches along general-specific lines. The semantic wildcard, denoted with #, acts in a manner similar with the lexical wildcard, but at semantic levels, enabling the retrieval of subsumed concepts. For instance, a search for animal# will match any concept that is of type animal, including dog, goat, and so forth, thereby going beyond the explicit knowledge stated in texts. This operator, together with a lexical locality operator that enables the retrieval of paragraphs rather than entire documents, have been both implemented in the IRSLO system and tested on requests of information run against an index of 130,000 documents. Significant improvement was observed over classic keyword-based retrieval systems in terms of precision, recall and success rate.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc83308/
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/
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: This article discusses agent-based distance vector routing. Abstract: In spite of the ever-increasing availability of computation and communication resources in modern networks, the overhead associated with network management protocols, such as traffic control and routing, continues to be an important aspect in the design of new methodologies. Resource efficiency of such protocols has become even more prominent with the recent developments of wireless and ad-hoc networks, which are marked by much more severe resource constraints in terms of bandwidth, memory, and computational capabilities. This paper presents an Agent-Based approach to Distance Vector Routing that addresses these resources constraints. Agent-Based Distance Vector Routing (ADVR) is a resource efficient implementation of Distance Vector Routing that is fault tolerant and scales well for large networks. ADVR draws upon some basic biologically inspired principles to facilitate coordination among the mobile agents that implement the routing task. Specifically, simulated pheromones are used to control the movement of agents within the network and to dynamically adjust the number of agents in the population. The behavior of ADVR is analyzed and compared to that of traditional Distance Vector Routing.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc111275/
Efficient Energy Saving Scheme for On-Chip Caches
Date: 2002
Creator: Gomathisankaran, Mahadevan & Somani, Arun
Description: This paper discusses efficient energy saving scheme for on-chip caches. Abstract: With the reduction in feature size the static power component, such as the leakage power, dominates the dynamic power consumption in the on-chip caches. It has been observed that all cache lines need not be kept alive at all times. Only a very few lines during a given window of time need to be actively powered from the footprint, i.e., they are accessed during that time. Earlier research has addressed the issue of how to determine the set of active lines and how long to keep them active (powered). Circuit techniques have also been developed to keep a cache line in low leakage state i.e., Drowsy State when the line is not being accessed or used. Such a cache is called drowsy cache. These circuit techniques try to achieve maximum reduction in the leakage power without losing the information content and with minimal performance penalty associated with power transitions. These techniques when used with optimal switching scheme, which decides when and what lines to drowse, results in maximum reduction in energy consumed. In this paper, the authors study the cache access pattern to evaluate them and arrive at an ...
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc94293/
Answering complex, list and context questions with LCC's Question-Answering Server
Date: November 2001
Creator: Harabagiu, Sanda; Moldovan, Dan; Paşca, Marius; Surdeanu, Mihai; Mihalcea, Rada; Gîrju, Roxana et al
Description: Abstract: 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. LCC's QAS™ extracts answers for (a) factual questions of variable degree of difficulty; (b) questions that expect lists of answers; and (c) questions posed in the context of previous questions and answers. One of the major novelties is the implementation of bridging inference mechanisms that guide the search for answers to complex questions. Additionally, LCC's QAS™ encodes an efficient way of modeling context via reference resolution. In TREC-10, this system generated an RAR of 0.58 on the main task and 0.78 on the context task.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc83297/
Automatic generation of a coarse grained WordNet
Date: June 2001
Creator: Mihalcea, Rada & Moldovan, Dan
Description: This paper discusses automatic generation of a coarse grained WordNet. Abstract: Several principles for the automatic transformation of WordNet into a coarser grained dictionary are proposed. A new version of WordNet is derived, leading to a reduction of 26% in the average polysemy of words, while introducing a small error rate of 2.1%, as measured on a sense tagged corpus.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc83310/
eXtended WordNet: progress report
Date: June 2001
Creator: Mihalcea, Rada, 1974- & Moldovan, Dan I.
Description: This paper discusses eXtended WordNet. Abstract: eXtended WordNet (XWN), a morphologically and semantically enhanced version of the WordNet dictionary, is currently build at SMU. There are several phases in the XWN project. This paper focuses on the semantic disambiguation stage of this project, and the preprocessing required by this stage.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc83309/
Multicell CDMA Network Design
Date: May 2001
Creator: Akl, Robert G.; Hegde, Manju V.; Naraghi-Pour, Mort & Min, Paul S.
Description: Traditional design rules for cellular networks are not directly applicable to code division multiple access (CDMA) networks where intercell interference is not mitigated by cell placement and careful frequency planning. For transmission quality requirements, a minimum signal-to-interface ratio (SIR) must be achieved. The base-station location, its pilot-signal power (which determines the size of the cell), and the transmission power of the mobiles all affect the received SIR. In addition, because of the need for power control in CDMA networks, large cells can cause a lot of interference to adjacent small cells, posing another constraint to design. In order to maximize the network capacity associated with a design, the authors develop a methodology to calculate the sensitivity of capacity to base-station location, pilot-signal power, and transmission power of each mobile. To alleviate the problem caused by difference cell sizes, the authors introduce the power compensation factor, by which the nominal power of the mobiles in every cell is adjusted. The authors then use the calculated sensitivities in an iterative algorithm to determine the optimal locations of the base stations, pilot-signal powers, and power compensation factors in order to maximize capacity. The authors show examples of how networks using these design techniques ...
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30815/
Document Indexing using Named Entities
Date: January 2001
Creator: Mihalcea, Rada, 1974- & Moldovan, Dan I.
Description: This article discusses document indexing using named entities. Abstract: Current text indexing and retrieval techniques have their roots in the field of Information Retrieval where the task is to extract documents that best match a query. With an ever increasing number of documents available due to the easy access through the Internet, the challenge is to provide users with concise and relevant information. The authors are proposing here a novel, yet simple approach, which indexes the named entities in the documents, such as to improve the relevance of documents retrieved. Experiments performed in finding information related to a set of 75 input questions, from a large collection of 125,000 documents, show that this new technique reduces the number of retrieved documents by a factor of 2, while still retrieving the relevant documents.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc83311/
The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering
Date: 2001
Creator: Harabagiu, Sanda; Moldovan, Dan; Paşca, Marius; Mihalcea, Rada; Surdeanu, Mihai; Bunescu, Răzvan et al
Description: This paper presents an open-domain textual Question-Answering system that uses several feedback loops to enhance its performance. These feedback loops combine in a new way statistical results with syntactic, semantic or pragmatic information derived from texts and lexical databases. The paper presents the contribution of each feedback loop to the overall performance of 76% human-assessed precise answers.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc81390/