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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.
Non-parameterized Sentence Embeddings
by Almarwani, Nada, Ph.D.  The George Washington University. 2020: 118 pages; 28087930.
3.
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.
4.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
5.
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.
6.
Effective MUGs: A Grammar Curriculum for Basic Writers
by Cottle, Katherine, D.Ed.  University of Delaware. 2019: 193 pages; 13427448.
7.
Cross-Lingual Word Sense Disambiguation for Low-Resource Hybrid Machine Translation
by Rudnick, Alexander James, Ph.D.  Indiana University. 2018: 167 pages; 13422906.
9.
Cross-Lingual Transfer of Semantics in Low-Resource Settings
by Aminian, Maryam, Ph.D.  The George Washington University. 2019: 142 pages; 27664551.
10.
Cross-Genre, Cross-Lingual, and Low-Resource Emotion Classification
by Tafreshi, Shabnam, Ph.D.  The George Washington University. 2021: 186 pages; 28088437.
11.
Abstraction, Sense Distinctions and Syntax in Neural Semantic Role Labeling
by Gung, James, Ph.D.  University of Colorado at Boulder. 2020: 181 pages; 27838256.
12.
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.
13.
Low-Dimensional Embeddings for Symbolic Data Science
by Tillquist, Richard Carter, Ph.D.  University of Colorado at Boulder. 2020: 102 pages; 27833617.
14.
Improving Top-Down Generation of Natural Language with Hierarchy
by Donahue, David J., M.S.  University of Massachusetts Lowell. 2020: 65 pages; 28088276.
15.
Full and Partial Diacritic Restoration: Development and Impact on Downstream Applications
by Alqahtani, Sawsan, Ph.D.  The George Washington University. 2020: 153 pages; 27668278.
16.
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.
18.
Improving Knowledge Graph Quality with Network Representation Learning
by Shi, Baoxu, Ph.D.  University of Notre Dame. 2018: 108 pages; 13836462.
19.
21.
A Modular Theory of Radical Pro Drop
by Liu, Chi-Ming, Ph.D.  Harvard University. 2014: 252 pages; 3626850.
22.
Extracting and Learning Semantics from Social Web Data
by Niebler, Thomas, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2019: 276 pages; 13912952.
23.
Quantitative Embeddability and Connectivity in Metric Spaces
by Eriksson-Bique, Sylvester David, Ph.D.  New York University. 2017: 267 pages; 10261097.
24.
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods
by Huang, Furong, Ph.D.  University of California, Irvine. 2016: 261 pages; 10125323.
25.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
26.
Inferring Mechanisms of Toxicity from Differential Genomics and Semantic Knowledge Representations
by Tripodi, I. J., Ph.D.  University of Colorado at Boulder. 2020: 149 pages; 27996986.
27.
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.
28.
Towards Effective and Controllable Neural Text Generation
by Fang, Le, Ph.D.  State University of New York at Buffalo. 2020: 88 pages; 27994869.
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30.
Memory operations and structures in sentence comprehension: Evidence from Ellipsis
by Martin, Andrea Eyleen, Ph.D.  New York University. 2010: 191 pages; 3396713.
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