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  Partner: UNT College of Engineering
 Resource Type: Paper
 Collection: UNT Scholarly Works
Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge

Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge

Date: August 2009
Creator: Hassan, Samer & Mihalcea, Rada, 1974-
Description: This paper discusses cross-lingual semantic relatedness using encyclopedic knowledge.
Contributing Partner: UNT College of Engineering
Combining Lexical Resources for Contextual Synonym Expansion

Combining Lexical Resources for Contextual Synonym Expansion

Date: 2009
Creator: Sinha, Ravi & Mihalcea, Rada, 1974-
Description: This paper discusses combining lexical resources for contextual synonym expansion.
Contributing Partner: UNT College of Engineering
Text-to-text Semantic Similarity for Automatic Short Answer Grading

Text-to-text Semantic Similarity for Automatic Short Answer Grading

Date: March 2009
Creator: Mohler, Michael & Mihalcea, Rada, 1974-
Description: In this paper, the authors explore unsupervised techniques for the task of automatic short answer grading.
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
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
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
Topic Identification Using Wikipedia Graph Centrality

Topic Identification Using Wikipedia Graph Centrality

Date: May 2009
Creator: Coursey, Kino High & Mihalcea, Rada, 1974-
Description: This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from Wikipedia. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge.
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
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
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