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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 – 20 of 20 1 Improving the Accessibility of Arabic Electronic Theses and Dissertations (ETDs) with Metadata and Classification Abdelrahman, Eman. - : Virginia Tech, 2021 BASE Show details 2 Otrouha: A Corpus of Arabic ETDs and a Framework for Automatic Subject Classification ; The Journal of Electronic Theses and Dissertations Abdelrahman, Eman; Alotaibi, Fatimah; Fox, Edward A.. - 2021 BASE Show details 3 Natural Language Processing Advancements By Deep Learning: A Survey ... Torfi, Amirsina; Shirvani, Rouzbeh A.; Keneshloo, Yaser. - : arXiv, 2020 BASE Show details 4 Teaching Natural Language Processing through Big Data Text Summarization with Problem-Based Learning ; Data and Information Management Li, Liuqing; Geissinger, Jack H.; Ingram, William A.. - : Sciendo, 2020 BASE Show details 5 A Framework for Hadoop Based Digital Libraries of Tweets Bock, Matthew. - : Virginia Tech, 2017 BASE Show details 6 Using Dependency Parses to Augment Feature Construction for Text Mining Guo, Sheng. - : Virginia Tech, 2012 Abstract: With the prevalence of large data stored in the cloud, including unstructured information in the form of text, there is now an increased emphasis on text mining. A broad range of techniques are now used for text mining, including algorithms adapted from machine learning, NLP, computational linguistics, and data mining. Applications are also multi-fold, including classification, clustering, segmentation, relationship discovery, and practically any task that discovers latent information from written natural language. Classical mining algorithms have traditionally focused on shallow representations such as bag-of-words and similar feature-based models. With the advent of modern high performance computing, deep sentence level linguistic analysis of large scale text corpora has become practical. In this dissertation, we evaluate the utility of dependency parses as textual features for different text mining applications. Dependency parsing is one form of syntactic parsing, based on the dependency grammar implicit in sentences. While dependency parsing has traditionally been used for text understanding, we investigate here its application to supply features for text mining applications. We specifically focus on three methods to construct textual features from dependency parses. First, we consider a dependency parse as a general feature akin to a traditional bag-of-words model. Second, we consider the dependency parse as the basis to build a feature graph representation. Finally, we use dependency parses in a supervised collocation mining method for feature selection. To investigate these three methods, several applications are studied, including: (i) movie spoiler detection, (ii) text segmentation, (iii) query expansion, and (iv) recommender systems. ; Ph. D. Keyword: dependency parsing; linguistic cues; text mining URL: http://hdl.handle.net/10919/28046 http://scholar.lib.vt.edu/theses/available/etd-06152012-070746/ BASE Hide details 7 Natural Language Toolkit (NLTK) Shu, Xiaokui; Cohen, Ron. - 2010 BASE Show details 8 Using Concept Maps as a Tool for Cross-Language Relevance Determination Richardson, W. Ryan. - : Virginia Tech, 2007 BASE Show details 9 Update on the Networked Digital Library of Theses and Dissertations Fox, Edward A.. - : Graduate School of Library Science, University of Illinois at Urbana-Champaign, 2000 BASE Show details 10 Incremental Clustering for Very Large Document Databases: Initial MARIAN Experience Can, Fazli; Fox, Edward A; Snavely, Cory D... In: Information sciences. - New York, NY : Elsevier Science Inc. 84 (1995) 1-2, 101-114 OLC Linguistik Show details 11 A query language for information graphs Betrabet, Sangita. - : Virginia Tech, 1993 BASE Show details 12 Integrated Access to a Large Medical Literature Database Fox, Edward A.; Koushik, Prabhakar M.; Chen, Qi-Fan. - : Department of Computer Science, Virginia Polytechnic Institute & State University, 1991 BASE Show details 13 Building a Lexicon from Machine-Readable Dictionaries for Improved Information Retrieval1 NUTTER, J. TERRY; FOX, EDWARD A.; EVENS, MARTHA W.. - : Oxford University Press, 1990 BASE Show details 14 Building a Lexicon from Machine-Readable Dictionaries for Improved Information Retrieval Nutter, J. Terry; Fox, Edward A.; Evens, Martha W.. - : Department of Computer Science, Virginia Polytechnic Institute & State University, 1990 BASE Show details 15 A More Cost Effective Algorithm for Finding Perfect Hash Functions Fox, Edward A.; Chen, Qi-Fan; Heath, Lenwood S.. - : Department of Computer Science, Virginia Polytechnic Institute & State University, 1988 BASE Show details 16 Creation of a Prolog Fact Base from the Collins English Dictionary Wohlwend, Robert C.; Fox, Edward A.. - : Department of Computer Science, Virginia Polytechnic Institute & State University, 1988 BASE Show details 17 Development of the CODER System: A Test-bed for Artificial Intelligence Methods in Information Retrieval Fox, Edward A.. - : Department of Computer Science, Virginia Polytechnic Institute & State University, 1986 BASE Show details 18 Building the CODER Lexicon: The Collins English Dictionary and its Adverb Definitions Fox, Edward A.; Wohlwend, Robert C.; Sheldon, Phyllis R.. - 1986 BASE Show details 19 Building the CODER Lexicon: The Collins English Dictionary and Its Adverb Definitions Fox, Edward A.; Wohlwend, Robert C.; Sheldon, Phyllis R.. - : Department of Computer Science, Virginia Polytechnic Institute & State University, 1986 BASE Show details 20 A Knowledge-Based System for Composite Document Analysis and Retrieval: Design Issues in the CODER Project Fox, Edward A.; France, Robert K.. - : Department of Computer Science, Virginia Polytechnic Institute & State University, 1986 BASE Show details

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