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  Partner: UNT College of Engineering
 Collection: UNT Scholarly Works
[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
Unsupervised Graph-based Word Sense Disambiguation Using Measures of Word Semantic Similarity

Unsupervised Graph-based Word Sense Disambiguation Using Measures of Word Semantic Similarity

Date: September 2007
Creator: Sinha, Ravi & Mihalcea, Rada, 1974-
Description: This paper describes an unsupervised graph-based method for word sense disambiguation, and presents comparative evaluations using several measures of word semantic similarity and several algorithms for graph centrality. The results indicate that the right combination of similarity metrics and graph centrality algorithms can lead to a performance competing with the state-of-the-art in unsupervised word sense disambiguation, as measured on standard data sets.
Contributing Partner: UNT College of Engineering
Text Semantic Similarity, with Applications

Text Semantic Similarity, with Applications

Date: September 2005
Creator: Corley, Courtney; Csomai, Andras & Mihalcea, Rada, 1974-
Description: In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.
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
Text Mining for Automatic Image Tagging

Text Mining for Automatic Image Tagging

Date: August 2010
Creator: Leong, Chee Wee; Mihalcea, Rada, 1974- & Hassan, Samer
Description: This paper introduces several extractive approaches for automatic image tagging, relying exclusively on information mined from texts. Through evaluations on two datasets, the authors show that their methods exceed competitive baselines by a large margin, and compare favorably with the state-of-the-art that uses both textual and image features.
Contributing Partner: UNT College of Engineering
Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling

Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling

Date: October 2005
Creator: Mihalcea, Rada, 1974-
Description: This paper introduces a graph-based algorithm for sequence data labeling, using random walks on graphs encoding label dependencies. The algorithm is illustrated and tested in the context of an unsupervised word sense disambiguation problem, and shown to significantly outperform the accuracy achieved through individual label assignment, as measured on standard sense-annotated data sets.
Contributing Partner: UNT College of Engineering
Technologies That Make You Smile: Adding Humor to Text-Based Applications

Technologies That Make You Smile: Adding Humor to Text-Based Applications

Date: 2006
Creator: Mihalcea, Rada, 1974- & Strapparava, Carlo, 1962-
Description: Article discussing technologies that make people smile and adding humor to text-based applications.
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: Article discussing word sense disambiguation with pattern learning and automatic feature selection.
Contributing Partner: UNT College of Engineering
An Algorithm for Open Text Semantic Parsing

An Algorithm for Open Text Semantic Parsing

Date: August 2004
Creator: Shi, Lei & Mihalcea, Rada, 1974-
Description: This paper describes an algorithm for open text shallow semantic parsing.
Contributing Partner: UNT College of Engineering
Computational Models for Incongruity Detection in Humour

Computational Models for Incongruity Detection in Humour

Date: March 2010
Creator: Mihalcea, Rada, 1974-; Strapparava, Carlo, 1962- & Pulman, Stephen
Description: In this paper, the authors explore several computational models for incongruity resolution.
Contributing Partner: UNT College of Engineering