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Co-training and Self-training for Word Sense Disambiguation

Description: This paper investigates the application of co-training and self-training to word sense disambiguation. Optimal and empirical parameter selection methods for co-training and self-training are investigated, with various degrees of error reduction. A new method that combines co-training with majority voting is introduced, with the effect of smoothing the bootstrapping learning curves, and improving the average performance.
Date: May 2004
Creator: Mihalcea, Rada, 1974-
Partner: UNT College of Engineering

Finding Semantic Associations on Express Lane

Description: This paper introduces a new codification scheme for efficient computation of measures in semantic networks. The scheme is particularly useful for fast computation of semantic associations between words and implementation of an informational retrieval operator for efficient search in semantic spaces. Other applications may also be possible.
Date: May 2004
Creator: Nastase, Vivi & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering

Subjectivity Word Sense Disambiguation

Description: This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses.
Date: August 2009
Creator: Akkaya, Cem; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering

The Decomposition of Human-Written Book Summaries

Description: In this paper, the authors evaluate the extent to which human-written book summaries can be obtained through cut-and-paste operations from the original book. The authors analyze the effect of the parameters involved in the decomposition algorithm, and highlight the distinctions in coverage obtained for different summary types.
Date: March 2009
Creator: Ceylan, Hakan & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering

Managerial self-awareness and its impact on leadership in high-performing managers.

Description: Managerial self-awareness is thought to impact leadership. A multi-rater feedback instrument was used to gather performance data on 70 managers in a large multi-national airline in regards to five leadership dimensions: making sound decisions, driving for results, effective communication, self-management, and innovation. Difference scores between self and direct reports were calculated and used as the operational definition of managerial self-awareness. T-tests were run to examine the difference between high performers and average performers. No significant differences were found. Additionally, correlational measures between the five leadership competencies and the managerial self-awareness measure indicated statistically weak relationships.
Date: May 2002
Creator: Yancey, Margaret
Partner: UNT Libraries

Topic Identification Using Wikipedia Graph Centrality

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.
Date: May 2009
Creator: Coursey, Kino High & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering

Using Encyclopedic Knowledge for Automatic Topic Identification

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.
Date: May 2009
Creator: Coursey, Kino High; Mihalcea, Rada, 1974- & Moen, William E.
Partner: UNT College of Engineering

Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization

Description: Abstract: This paper presents an innovative unsupervised method for automatic sentence extraction using graph-based ranking algorithms. We evaluate the method in the context of a text summarization task, and show that the results obtained compare favorably with previously published results on established benchmarks.
Date: July 2004
Creator: Mihalcea, Rada, 1974-
Partner: UNT College of Engineering

The Characteristics of Sociological Practitioners: A Social Psychological Examination

Description: Questionnaires were sent by mail and e-mail to 143 members of the Sociological Practice Association. The purpose of the questionnaire was to measure the role expectations as qualities (competencies), role expectations as actions, and role enactments of the respondents'. An additional goal was to examine how respondents perceived their work to be sociological in nature, and how they saw their work as different from the practices of social workers, counselors, and psychologists. The first question that was addressed was, “Do sociological practitioners have clear and unambiguous role expectations for their work as practitioners?” The data showed that most role expectations measured as competencies were clear and unambiguous, and only a few were ambiguous and unclear. The second question addressed was, “Do sociological practitioners perceive their role enactments to differ from other helping professionals such as social workers, counselors, and psychologists?” The data showed that sociological practitioners do perceive their role enactments to be different because of their use of sociological theory and their focus on social structures. The final question asked was, “How do sociological practitioners perceive their work as sociological in theory, methods, or both?” The data showed that sociological practitioners perceive their work as sociological based on their use of sociological theory. Most respondents reported that they used common scientific methods, and few reported the use of psychological theory.
Date: May 2002
Creator: Carr, Joel Lance
Partner: UNT Libraries

SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text

Description: This paper introduces SenseLearner - a minimally supervised sense tagger that attempts to disambiguate all content words in a text using the sense from WordNet. SenseLearner participated in the SENSEVAL-3 English all words task, and achieved an average accuracy of 64.6%.
Date: 2004
Creator: Mihalcea, Rada, 1974- & Faruque, Ehsanul
Partner: UNT College of Engineering

TextRank: Bringing Order into Texts

Description: In this paper, the authors introduce TextRank, a graph-based ranking model for text processing, and show how this model can be successfully used in natural language applications.
Date: July 2004
Creator: Mihalcea, Rada, 1974- & Tarau, Paul
Partner: UNT College of Engineering

The SENSEVAL-3 English Lexical Sample Task

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.
Date: July 2004
Creator: Mihalcea, Rada, 1974-; Chklovski, Timothy A. (Timothy Anatolievich), 1977- & Kilgarriff, Adam
Partner: UNT College of Engineering