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  Partner: UNT College of Engineering
 Decade: 2000-2009
 Collection: UNT Scholarly Works
Using Encyclopedic Knowledge for Automatic Topic Identification

Using Encyclopedic Knowledge for Automatic Topic Identification

Date: May 2009
Creator: Coursey, Kino High; Mihalcea, Rada, 1974- & Moen, William E.
Description: Abstract: This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotations.
Contributing Partner: UNT College of Engineering
Using the Essence of Texts to Improve Document Classification

Using the Essence of Texts to Improve Document Classification

Date: September 2005
Creator: Mihalcea, Rada, 1974- & Hassan, Samer
Description: This article discusses using the essence of texts to improve document classification.
Contributing Partner: UNT College of Engineering
Using Wikipedia for Automatic Word Sense Disambiguation

Using Wikipedia for Automatic Word Sense Disambiguation

Date: April 2007
Creator: Mihalcea, Rada, 1974-
Description: This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.
Contributing Partner: UNT College of Engineering
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
WiFi and WCDMA Network Design

WiFi and WCDMA Network Design

Date: April 2005
Creator: Akl, Robert G.
Description: This presentation discusses WiFi access point selection and traffic balancing, multi-cell wideband code division multiple access (WCDMA) with multiple classes, user modeling using 2D Gaussian distribution, and intra-cell and inter-cell interference and capacity.
Contributing Partner: UNT College of Engineering
Wikify! Linking Documents to Encyclopedic Knowledge

Wikify! Linking Documents to Encyclopedic Knowledge

Date: November 2007
Creator: Mihalcea, Rada, 1974- & Csomai, Andras
Description: This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks. The paper also shows how the two methods can be combined into a system able to automatically enrich a text with links to encyclopedic knowledge. Given an input document, the system identifies the important concepts in the text and automatically links these concepts to the corresponding Wikipedia pages. Evaluations of the system show that the automatic annotations are reliable and hardly distinguishable from manual annotations.
Contributing Partner: UNT College of Engineering
Word Alignment for Languages with Scarce Resources

Word Alignment for Languages with Scarce Resources

Date: June 2005
Creator: Martin, Joel; Mihalcea, Rada, 1974- & Pedersen, Ted
Description: This paper presents the task definition, resources, participating systems, and comparative results for the shared task on word alignment which was organized as part of the Association for Computational Linguistics (ACL) 2005 Workshop on Building and Using Parallel Texts. The shared task included English-Inuktitut, Romanian-English, and English-Hindi sub-tasks, and drew the participation of ten teams from around the world with a total of 50 systems.
Contributing Partner: UNT College of Engineering
Word Sense and Subjectivity

Word Sense and Subjectivity

Date: July 2006
Creator: Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Description: This paper discusses word sense and subjectivity.
Contributing Partner: UNT College of Engineering
Word Sense Disambiguation with Pattern Learning and Automatic Feature Selection

Word Sense Disambiguation with Pattern Learning and Automatic Feature Selection

Date: December 2002
Creator: Mihalcea, Rada, 1974-
Description: This paper presents a novel approach for word sense disambiguation. The underlying algorithm has two main components: (1) pattern learning from available sense-tagged corpora (SemCor), from dictionary definitions (WordNet) and from a generated corpus (GenCor), and (2) instance based learning with automatic feature selection, when training data is available for a particular word. The ideas described in this paper were implemented in a system that achieved the best score during the SENSEVAL-2 evaluation exercise, for both English all words and English lexical sample tasks.
Contributing Partner: UNT College of Engineering
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