You limited your search to:

  Partner: UNT College of Engineering
 Collection: UNT Scholarly Works
PageRank on Semantic Networks, with Application to Word Sense Disambiguation

PageRank on Semantic Networks, with Application to Word Sense Disambiguation

Date: August 2004
Creator: Mihalcea, Rada, 1974-; Tarau, Paul & Figa, Elizabeth
Description: This article discusses PageRank on semantic networks, with application to word sense disambiguation.
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, 1974- & Strapparava, Carlo, 1962-
Description: This paper discusses investigations in automatic humor recognition.
Contributing Partner: UNT College of Engineering
The SENSEVAL-3 Multilingual English-Hindi Lexical Sample Task

The SENSEVAL-3 Multilingual English-Hindi Lexical Sample Task

Date: July 2004
Creator: Chklovski, Timothy A. (Timothy Anatolievich), 1977-; Mihalcea, Rada, 1974-; Pedersen, Ted & Purandare, Amruta
Description: This paper describes the English-Hindi Multilingual lexical sample task in SENSEVAL-3.
Contributing Partner: UNT College of Engineering
Measuring the Semantic Similarity of Texts

Measuring the Semantic Similarity of Texts

Date: June 2005
Creator: Corley, Courtney & Mihalcea, Rada, 1974-
Description: This paper discusses measuring the semantic similarity of texts.
Contributing Partner: UNT College of Engineering
Computational Laughing: Automatic Recognition of Humorous One-liners

Computational Laughing: Automatic Recognition of Humorous One-liners

Date: July 2005
Creator: Mihalcea, Rada, 1974- & Strapparava, Carlo, 1962-
Description: This paper discusses automatic recognition of humor.
Contributing Partner: UNT College of Engineering
The SENSEVAL-3 English Lexical Sample Task

The SENSEVAL-3 English Lexical Sample Task

Date: July 2004
Creator: Mihalcea, Rada, 1974-; Chklovski, Timothy A. (Timothy Anatolievich), 1977- & Kilgarriff, Adam
Description: This paper presents the task definition, resources, participating systems, and comparative results for the English lexical sample task, which was organized as part of the SENSEVAL-3 evaluation exercise.
Contributing Partner: UNT College of Engineering
SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text

SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text

Date: June 2005
Creator: Mihalcea, Rada, 1974- & Csomai, Andras
Description: This paper describes SenseLearner, a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses.
Contributing Partner: UNT College of Engineering
PicNet: Augmenting Semantic Resources with Pictorial Representations

PicNet: Augmenting Semantic Resources with Pictorial Representations

Date: March 2005
Creator: Borman, Andy; Mihalcea, Rada, 1974- & Tarau, Paul
Description: In this paper, the authors introduce PicNet, a Web-based system for augmenting semantic resources with illustrative images using volunteer contributions over the Web.
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
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