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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 Hits 1 – 8 of 8 1 Infusing Automatic Question Generation with Natural Language Understanding Mazidi, Karen. - : University of North Texas, 2016 Abstract: Automatically generating questions from text for educational purposes is an active research area in natural language processing. The automatic question generation system accompanying this dissertation is MARGE, which is a recursive acronym for: MARGE automatically reads generates and evaluates. MARGE generates questions from both individual sentences and the passage as a whole, and is the first question generation system to successfully generate meaningful questions from textual units larger than a sentence. Prior work in automatic question generation from text treats a sentence as a string of constituents to be rearranged into as many questions as allowed by English grammar rules. Consequently, such systems overgenerate and create mainly trivial questions. Further, none of these systems to date has been able to automatically determine which questions are meaningful and which are trivial. This is because the research focus has been placed on NLG at the expense of NLU. In contrast, the work presented here infuses the questions generation process with natural language understanding. From the input text, MARGE creates a meaning analysis representation for each sentence in a passage via the DeconStructure algorithm presented in this work. Questions are generated from sentence meaning analysis representations using templates. The generated questions are automatically evaluated for question quality and importance via a ranking algorithm. Keyword: Automatic question generation; Comparative and general -- Interrogative; Computational linguistics; Discourse analysis -- Data processing; Grammar URL: https://digital.library.unt.edu/ark:/67531/metadc955021/ BASE Hide 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 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 4 The Value of Everything: Ranking and Association with Encyclopedic Knowledge Coursey, Kino High. - : University of North Texas, 2009 BASE Show details 5 Cross Language Information Retrieval for Languages with Scarce Resources Loza, Christian. - : University of North Texas, 2009 BASE Show details 6 Graph-based Centrality Algorithms for Unsupervised Word Sense Disambiguation Sinha, Ravi Som. - : University of North Texas, 2008 BASE Show details 7 A Minimally Supervised Word Sense Disambiguation Algorithm Using Syntactic Dependencies and Semantic Generalizations Faruque, Md. Ehsanul. - : University of North Texas, 2005 BASE Show details 8 Improving Topic Tracking with Domain Chaining Yang, Li. - : University of North Texas, 2003 BASE Show details

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