You limited your search to:

  Partner: UNT College of Engineering
 Department: Computer Science and Engineering
Linking Educational Materials to Encyclopedic Knowledge

Linking Educational Materials to Encyclopedic Knowledge

Date: July 2007
Creator: Csomai, Andras & Mihalcea, Rada
Description: This paper describes a system that automatically links study materials to encyclopedic knowledge, and shows how the availability of such knowledge within easy reach of the learner can improve both the quality of the knowledge acquired and the time needed to obtain such knowledge.
Contributing Partner: UNT College of Engineering
Making Computers Laugh: Investigations in Automatic Humor Recognition

Making Computers Laugh: Investigations in Automatic Humor Recognition

Date: October 2005
Creator: Mihalcea, Rada & Strapparava, Carlo
Description: This paper discusses investigations in automatic humor recognition. This Humor is one of the most interesting and puzzling aspects of human behavior. Despite the attention it has received in fields such as philosophy, linguistics, and psychology, there have been only few attempts to create computational models for humor recognition or generation. In this paper, the authors bring empirical evidence that computational approaches can be successfully applied to the task of humor recognition. Through experiments performed on very large data sets, the authors show that automatic classification techniques can be effectively used to distinguish between humorous and non-humorous texts, with significant improvements observed over apriori known baselines.
Contributing Partner: UNT College of Engineering
Making Sense Out of the Web

Making Sense Out of the Web

Date: November 2004
Creator: Mihalcea, Rada
Description: This paper discusses the main lines of research in deriving efficient Word Sense Disambiguation. In the past few years, we have witnessed a tremendous growth of the World Wide Web, both in terms of number of Web pages accessible online - resulting in what represents today the largest publicly available corpus, and in terms of number of Web users - who now these two main dimensions - pages and users - has opened the doors to a realm of new approaches to data-hungry and knowledge-hungry language processing applications. Among these, Word Sense Disambiguation is one of the applications that has the potential of benefiting the most from the large amounts of Web-based data and from the availability of inexpensive Web user supervision. In this paper, the author discusses the main lines of research in deriving efficient Word Sense Disambiguation methods that exploit: (1) the Web as a corpus - which represents a view of the Web seen as an enormous collection of Web pages; and (2) the Web as collective mind - where the Web is regarded as a large group of Web users who can contribute their knowledge to the process of identifying word meanings.
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
Description: This paper describes a rule-based semantic parser that relies on a frame dataset (FrameNet), and a semantic network (WordNet), to identify semantic relations between words in open text, as well as shadow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and constitutes 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
REBEL: Reconfigurable Block Encryption Logic

REBEL: Reconfigurable Block Encryption Logic

Date: September 1, 2006
Creator: Gomathisankaran, Mahadevan & Tyagi, Akhilesh
Description: This paper discusses reconfigurable block encryption logic. Existing block cipher function designs have tended to deploy the secret bits in a specific and limited way. The authors generalize the role of the secret as truth tables of Boolean gates in a carefully designed logic schema. The authors' claims are: these reconfigurable functions are pseudo one-way and pseudo random functions. Such a function family is proposed using reconfigurable gates. Based on this function family the authors create REBEL, Reconfigurable Block Encryption Logic, which is an LR-Network. The authors prove cryptographic and cryptanalytic security for REBEL. From cryptographic perspective, this function is a pseudo-permutation. From cryptanalysis perspective, any observable attribute appears to be a random process.
Contributing Partner: UNT College of Engineering
Retention and Recruitment of Women in Computer Engineering

Retention and Recruitment of Women in Computer Engineering

Date: July 2006
Creator: Akl, Robert G. & Garlick, Ryan
Description: This paper describes the efforts and results of a plan for actively recruiting women students to undergraduate computer engineering programs at the University of North Texas (UNT). It also describes a series of activities aimed at improving retention rates of women students already in our programs. Such recruitment and retention of women is critical to the country's efforts to increase the number of engineering professionals, and is a priority for the Computer Science and Engineering (CSE) Department at UNT.
Contributing Partner: UNT College of Engineering
Robocamp: Encouraging Young Women to Embrace STEM

Robocamp: Encouraging Young Women to Embrace STEM

Date: February 2009
Creator: Akl, Robert G. & Keathly, David
Description: This paper describes the efforts and results of a plan for actively recruiting students to undergraduate computer science and engineering programs at the University of North Texas (UNT). Such recruitment of students is critical to the country's efforts to increase the number of engineering professionals, and is a priority for the Computer Science and Engineering (CSE) Department at UNT.
Contributing Partner: UNT College of Engineering
The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering

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
The Semantic Wildcard

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
Secure Embedded Platform Networked Automotive Systems

Secure Embedded Platform Networked Automotive Systems

Date: March 2011
Creator: Gomathisankaran, Mahadevan & Namuduri, Kamesh
Description: This paper discusses secure embedded platforms for networked automotive systems. Modern automotive systems contain numerous electronic sensors and embedded processors. The embedded processors are used for tasks ranging from control and maneuvering, to navigation, and to communication among the vehicles. A vehicle-to-vehicle network or vehicular network, with its added functionality and communications requirements, further increases the complexity of the embedded system. The design of a safe, reliable, and secure embedded platform, suitable for networked automotive systems, is a challenge for our generation. The authors' focus in this position paper is on the security of the embedded system suitable for the networked automotive systems.
Contributing Partner: UNT College of Engineering