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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: 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
UNT: SubFinder: Combining Knowledge Sources for Automatic Lexical Substitution

UNT: SubFinder: Combining Knowledge Sources for Automatic Lexical Substitution

Date: June 2007
Creator: Hassan, Samer; Csomai, Andras; Banea, Carmen; Sinha, Ravi & Mihalcea, Rada, 1974-
Description: This paper describes the University of North Texas SubFinder system. The system is able to provide the most likely set of substitutes for a word in a given context, by combining several techniques and knowledge sources. SubFinder has successfully participated in the best and out of ten (oot) tracks in the SEMEVAL lexical substitution task, consistently ranking in the first or second place.
Contributing Partner: UNT College of Engineering
Networks and Natural Language Processing

Networks and Natural Language Processing

Date: September 2008
Creator: Radev, Dragomir R. & Mihalcea, Rada, 1974-
Description: Article discussing networks and natural language processing. The authors present some of the most successful graph-based representations and algorithms used in language processing and try to explain how and why they work.
Contributing Partner: UNT College of Engineering
Parallel Texts

Parallel Texts

Date: September 2005
Creator: Mihalcea, Rada, 1974- & Simard, Michel
Description: Article discussing parallel texts and natural language processing.
Contributing Partner: UNT College of Engineering
Annotating and Identifying Emotions in Text

Annotating and Identifying Emotions in Text

Date: 2010
Creator: Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974-
Description: This book chapter discusses annotating and identifying emotions in text.
Contributing Partner: UNT College of Engineering
Automatic Keyword Extraction for Learning Object Repositories

Automatic Keyword Extraction for Learning Object Repositories

Date: October 2008
Creator: Coursey, Kino High; Mihalcea, Rada, 1974- & Moen, William E.
Description: This article discusses automatic keyword extraction for learning object repositories.
Contributing Partner: UNT College of Engineering
A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources

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: This article discusses a bootstrapping method for building subjectivity lexicons for languages with scarce resources.
Contributing Partner: UNT College of Engineering
BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages

BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages

Date: May 2008
Creator: Mohler, Michael & Mihalcea, Rada, 1974-
Description: This paper discusses BABYLON parallel text builder.
Contributing Partner: UNT College of Engineering
An Evaluation Exercise for Romanian Word Sense Disambiguation

An Evaluation Exercise for Romanian Word Sense Disambiguation

Date: July 2004
Creator: Mihalcea, Rada, 1974-; Nastase, Vivi; Chklovski, Timothy A. (Timothy Anatolievich), 1977-; Tatar, Doina; Tufis, Dan & Hristea, Florentina T.
Description: This paper discusses an evaluation exercise for Romanian word sense disambiguation.
Contributing Partner: UNT College of Engineering
Letter Level Learning for Language Independent Diacritics Restoration

Letter Level Learning for Language Independent Diacritics Restoration

Date: September 2002
Creator: Mihalcea, Rada, 1974- & Nastase, Vivi
Description: This paper discusses letter level learning for language independent diacritics restoration.
Contributing Partner: UNT College of Engineering