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  Partner: UNT College of Engineering
 Decade: 2000-2009
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
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.
Contributing Partner: UNT College of Engineering
Multilingual Subjectivity Analysis Using Machine Translation

Multilingual Subjectivity Analysis Using Machine Translation

Date: October 2008
Creator: Banea, Carmen; Mihalcea, Rada, 1974-; Wiebe, Janyce M. & Hassan, Samer
Description: This paper discusses multilingual subjectivity analysis using machine translation.
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
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
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
[Review] The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data

[Review] The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data

Date: March 2008
Creator: Mihalcea, Rada, 1974-
Description: This book review discusses 'The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data' by Ronen Feldman and James Sanger. The book is an introduction to text mining, covering the general architecture of text mining systems, along with the main techniques used by such systems.
Contributing Partner: UNT College of Engineering
Linguistically Motivated Features for Enhanced Back-of-the-Book Indexing

Linguistically Motivated Features for Enhanced Back-of-the-Book Indexing

Date: June 2008
Creator: Csomai, Andras & Mihalcea, Rada, 1974-
Description: This paper discusses linguistically motivated features for enhanced back-of-the-book indexing.
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
Learning to Identify Emotions in Text

Learning to Identify Emotions in Text

Date: March 2008
Creator: Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974-
Description: This paper discusses learning to identify emotions in text.
Contributing Partner: UNT College of Engineering
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