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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 78 1 Infusing Automatic Question Generation with Natural Language Understanding Mazidi, Karen. - : University of North Texas, 2016 BASE Show details 2 Automatic Language Identification for Metadata Records: Measuring the Effectiveness of Various Approaches Knudson, Ryan Charles. - : University of North Texas, 2015 BASE Show details 3 Co-Training for Topic Classification of Scholarly Data Caragea, Cornelia; Bulgarov, Florin; Mihalcea, Rada, 1974- In: 2015 Conference on Empirical Methods in Natural Language Processing, September 17-21, 2015. Lisbon, Portugal. (2015) BASE Show details 4 Exploration of Visual, Acoustic, and Physiological Modalities to Complement Linguistic Representations for Sentiment Analysis Pérez-Rosas, Verónica. - : University of North Texas, 2014 BASE Show details 5 Multilingual Word Sense Disambiguation Using Wikipedia Dandala, Bharath. - : University of North Texas, 2013 BASE Show details 6 Modeling Alcohol Consumption Using Blog Data Koh, Kok Chuan. - : University of North Texas, 2013 BASE Show details 7 Extrapolating Subjectivity Research to Other Languages Banea, Carmen. - : University of North Texas, 2013 BASE Show details 8 Finding Meaning in Context Using Graph Algorithms in Mono- and Cross-lingual Settings Sinha, Ravi Som. - : University of North Texas, 2013 Abstract: Making computers automatically find the appropriate meaning of words in context is an interesting problem that has proven to be one of the most challenging tasks in natural language processing (NLP). Widespread potential applications of a possible solution to the problem could be envisaged in several NLP tasks such as text simplification, language learning, machine translation, query expansion, information retrieval and text summarization. Ambiguity of words has always been a challenge in these applications, and the traditional endeavor to solve the problem of this ambiguity, namely doing word sense disambiguation using resources like WordNet, has been fraught with debate about the feasibility of the granularity that exists in WordNet senses. The recent trend has therefore been to move away from enforcing any given lexical resource upon automated systems from which to pick potential candidate senses,and to instead encourage them to pick and choose their own resources. Given a sentence with a target ambiguous word, an alternative solution consists of picking potential candidate substitutes for the target, filtering the list of the candidates to a much shorter list using various heuristics, and trying to match these system predictions against a human generated gold standard, with a view to ensuring that the meaning of the sentence does not change after the substitutions. This solution has manifested itself in the SemEval 2007 task of lexical substitution and the more recent SemEval 2010 task of cross-lingual lexical substitution (which I helped organize), where given an English context and a target word within that context, the systems are required to provide between one and ten appropriate substitutes (in English) or translations (in Spanish) for the target word. In this dissertation, I present a comprehensive overview of state-of-the-art research and describe new experiments to tackle the tasks of lexical substitution and cross-lingual lexical substitution. In particular I attempt to answer some research questions pertinent to the tasks, mostly focusing on completely unsupervised approaches. I present a new framework for unsupervised lexical substitution using graphs and centrality algorithms. An additional novelty in this approach is the use of directional similarity rather than the traditional, symmetric word similarity. Additionally, the thesis also explores the extension of the monolingual framework into a cross-lingual one, and examines how well this cross-lingual framework can work for the monolingual lexical substitution and cross-lingual lexical substitution tasks. A comprehensive set of comparative investigations are presented amongst supervised and unsupervised methods, several graph based methods, and the use of monolingual and multilingual information. Keyword: cross lingual; disambiguations; Lexical substitution; word sense URL: http://digital.library.unt.edu/ark:/67531/metadc271899/ BASE Hide details 9 Sentence Similarity Analysis with Applications in Automatic Short Answer Grading Mohler, Michael A. G.. - : University of North Texas, 2012 BASE Show details 10 Measuring Semantic Relatedness Using Salient Encyclopedic Concepts Hassan, Samer. - : University of North Texas, 2011 BASE Show details 11 Topic Modeling on Historical Newspapers Yang, Tze-I; Torget, Andrew J., 1978-; Mihalcea, Rada, 1974- In: Association for Computational Linguistics (ACL) Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LATECH), 2011, Portland, Oregon, United States (2011) BASE Show details 12 Multilingual Subjectivity: Are More Languages Better? Banea, Carmen; Mihalcea, Rada, 1974-; Wiebe, Janyce M. In: International Conference on Computational Linguistics (COLING), 2010, Beijing, China (2010) BASE Show details 13 SemEval-2010 Task 2: Cross-Lingual Lexical Substitution Mihalcea, Rada, 1974-; Sinha, Ravi; McCarthy, Diana In: Association for Computational Linguistics (ACL) Workshop on Semantic Evaluations (SemEval), 2010, Uppsala, Sweden (2010) BASE Show details 14 Annotating and Identifying Emotions in Text Strapparava, Carlo, 1962-; Mihalcea, Rada, 1974- In: Intelligent Information Access, 2010. Berlin: Springer-Verlag, v. 301/2010, pp. 21-38. (2010) BASE Show details 15 Text Mining for Automatic Image Tagging Leong, Chee Wee; Mihalcea, Rada, 1974-; Hassan, Samer In: Twenty-third Annual International Conference on Computational Linguistics (COLING), 2010, Beijing, China (2010) BASE Show details 16 Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation Akkaya, Cem; Conrad, Alexander; Wiebe, Janyce M.... In: North American Chapter of the Association for Computational Linguistics Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, 2010, Los Angeles, California, United States (2010) BASE Show details 17 Linguistic Ethnography: Identifying Dominant Word Classes in Text Pulman, Stephen; Mihalcea, Rada, 1974- In: Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2009, Mexico City, Mexico (2009) BASE Show details 18 Combining Lexical Resources for Contextual Synonym Expansion Sinha, Ravi; Mihalcea, Rada, 1974- In: International Conference in Recent Advances in Natural Language Processing (RANLP), 2009, Borovets, Bulgaria (2009) BASE Show details 19 The Decomposition of Human-Written Book Summaries Ceylan, Hakan; Mihalcea, Rada, 1974- In: Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2009, Mexico City, Mexico (2009) BASE Show details 20 Subjectivity Word Sense Disambiguation Akkaya, Cem; Wiebe, Janyce M.; Mihalcea, Rada, 1974- In: Conference on Empirical Methods in Natural Language Processing (EMNLP), 2009, Singapore (2009) BASE Show details Page: 1 2 3 4

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