You limited your search to:

  Partner: UNT College of Engineering
 Department: Computer Science and Engineering
 Decade: 2010-2019
 Collection: UNT Scholarly Works
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
Text and Structural Data Mining of Influenza Mentions in Web and Social Media

Text and Structural Data Mining of Influenza Mentions in Web and Social Media

Date: February 22, 2010
Creator: Corley, Courtney; Cook, Diane J., 1963-; Mikler, Armin R. & Singh, Karan P.
Description: This article discusses text and structural data mining of influenza mentions in web and social media.
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
Classifying genes to the correct Gene Ontology Slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning

Classifying genes to the correct Gene Ontology Slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning

Date: May 28, 2010
Creator: Amthauer, Heather A. & Tsatsoulis, C. (Costas), 1962-
Description: Article discussing research on classifying genes to the correct gene ontology slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning.
Contributing Partner: UNT College of Engineering
Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

Date: June 2010
Creator: Akkaya, Cem; Conrad, Alexander; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Description: In this paper, the authors discuss research on whether they can use Mechanical Turk (MTurk) to acquire goo annotations with respect to gold-standard data, whether they can filter out low-quality workers (spammers), and whether there is a learning effect associated with repeatedly completing the same kind of task.
Contributing Partner: UNT College of Engineering
Quantifying the Limits and Success of Extractive Summarization Systems Across Domains

Quantifying the Limits and Success of Extractive Summarization Systems Across Domains

Date: June 2010
Creator: Ceylan, Hakan; Mihalcea, Rada, 1974-; Ozertem, Umut; Lloret, Elena & Palomar, Manuel
Description: This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and legal documents.
Contributing Partner: UNT College of Engineering
SemEval-2010 Task 2: Cross-Lingual Lexical Substitution

SemEval-2010 Task 2: Cross-Lingual Lexical Substitution

Date: July 2010
Creator: Mihalcea, Rada, 1974-; Sinha, Ravi & McCarthy, Diana
Description: This article describes the SemEval-2010 Cross-Lingual Lexical Substitution task.
Contributing Partner: UNT College of Engineering
Multilingual Subjectivity: Are More Languages Better?

Multilingual Subjectivity: Are More Languages Better?

Date: August 2010
Creator: Banea, Carmen; Mihalcea, Rada, 1974- & Wiebe, Janyce M.
Description: This paper discusses multilingual subjectivity.
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
Graph-based Ranking Algorithms for Text Processing

Graph-based Ranking Algorithms for Text Processing

Date: March 9, 2005
Creator: Mihalcea, Rada, 1974- & Tarau, Paul
Description: Patent relating to graph-based ranking algorithms for text processing.
Contributing Partner: UNT College of Engineering
FIRST PREV 1 2 3 4 NEXT LAST