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357 open access dissertations and theses found for:
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1.
Cross-Lingual Alignment of Word & Sentence Embeddings
by Aldarmaki, Hanan, Ph.D.  The George Washington University. 2019: 113 pages; 13812118.
2.
Cross-Lingual Word Sense Disambiguation for Low-Resource Hybrid Machine Translation
by Rudnick, Alexander James, Ph.D.  Indiana University. 2018: 167 pages; 13422906.
3.
Cross-Lingual Transfer of Semantics in Low-Resource Settings
by Aminian, Maryam, Ph.D.  The George Washington University. 2019: 142 pages; 27664551.
4.
Cross-Genre, Cross-Lingual, and Low-Resource Emotion Classification
by Tafreshi, Shabnam, Ph.D.  The George Washington University. 2021: 186 pages; 28088437.
5.
Non-parameterized Sentence Embeddings
by Almarwani, Nada, Ph.D.  The George Washington University. 2020: 118 pages; 28087930.
6.
Multi-Task and Transfer Learning in Low-Resource Speech Recognition
by Meyer, Josh, Ph.D.  The University of Arizona. 2019: 172 pages; 22615820.
7.
Low-Dimensional Embeddings for Symbolic Data Science
by Tillquist, Richard Carter, Ph.D.  University of Colorado at Boulder. 2020: 102 pages; 27833617.
8.
Classifying Websites Using Word Vectors and Other Techniques: An Application of Zipf’s Law
by Robles, Alejandro, M.S.  California State University, Long Beach. 2019: 50 pages; 22589849.
10.
Abstraction, Sense Distinctions and Syntax in Neural Semantic Role Labeling
by Gung, James, Ph.D.  University of Colorado at Boulder. 2020: 181 pages; 27838256.
11.
Extracting and Learning Semantics from Social Web Data
by Niebler, Thomas, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2019: 276 pages; 13912952.
12.
Quantitative Embeddability and Connectivity in Metric Spaces
by Eriksson-Bique, Sylvester David, Ph.D.  New York University. 2017: 267 pages; 10261097.
13.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
14.
Political Semantics: Methods and Applications in the Study of Meaning for Political Science
by Rodriguez Sosa, Pedro L., Ph.D.  New York University. 2019: 149 pages; 13811817.
15.
Language Reflects Us: Modeling the Relationship between Language and Humans
by Lynn, Veronica E., Ph.D.  State University of New York at Stony Brook. 2019: 92 pages; 27671887.
16.
A Synthetic FACS Framework for Expanding Facial Expression Lexicons
by Butler, Crystal, Ph.D.  New York University Tandon School of Engineering. 2021: 125 pages; 28157617.
17.
Full and Partial Diacritic Restoration: Development and Impact on Downstream Applications
by Alqahtani, Sawsan, Ph.D.  The George Washington University. 2020: 153 pages; 27668278.
18.
Representation Learning for Text: Transfer Learning, Decomposition, and Bias in Neural Networks
by Romanov, Alexey, Ph.D.  University of Massachusetts Lowell. 2019: 103 pages; 22624438.
20.
Improving Knowledge Graph Quality with Network Representation Learning
by Shi, Baoxu, Ph.D.  University of Notre Dame. 2018: 108 pages; 13836462.
21.
22.
Feature Selection for Diffusion Methods Within a Supervised Context
by Le, Minh-Tam, Ph.D.  Yale University. 2014: 135 pages; 3582256.
23.
Needle in the Noise: Detecting Public Safety Events Over Twitter
by Paulson, Keith, M.Eng.  University of Colorado Colorado Springs. 2019: 52 pages; 13864461.
24.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
25.
Information Retrieval in Clinical Chart Reviews
by Ye, Cheng, Ph.D.  Vanderbilt University. 2019: 167 pages; 13812003.
26.
Attention-Dependent and Continuous Representation Learning using Deep Autoencoders
by Dellana, Ryan, Ph.D.  North Carolina Agricultural and Technical State University. 2019: 104 pages; 22583727.
27.
Comparison and Fine-Grained Analysis of Sequence Encoders for Natural Language Processing
by Keller, Thomas Anderson, M.S.  University of California, San Diego. 2017: 87 pages; 10599339.
28.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
29.
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