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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 5...33 Hits 1 – 20 of 654 1 Talking about torment : agency assignment and grammatical metaphor in pain communication ... Wang, Yiwei Ph. D. In Communication Studies; 0000-0003-3633-7951. - : The University of Texas at Austin, 2020 BASE Show details 2 Algorithms for learning to induce programs Ellis, Kevin,Ph. D.(Kevin M.)Massachusetts Institute of Technology.. - : Massachusetts Institute of Technology, 2020 BASE Show details 3 An experimental approach to recomplementation : evidence from monolingual and bilingual Spanish Frank, Joshua, Ph. D.. - 2020 BASE Show details 4 Noun incorporation and resultative verb compounding in Mandarin Chinese Gu, Qianping, Ph. D.. - 2020 BASE Show details 5 How do Mandarin-speaking children learn shape classifiers? Hao, Ying, Ph. D.. - 2019 BASE Show details 6 Teachers’ and center leaders’ sensemaking of inquiry-based professional learning in early childhood education and care programs : a multiple case study Englehardt, Joanna Sue. - 2019 BASE Show details 7 Marketing of Library Services for Enhanced Accessibility in National Open University of Nigeria: Challenges and Strategies for Intervention Ekwueme, Loveth Ogoegbunam, Ph. D; Ilo, Promise Ifeoma, Ph.D In: Library Philosophy and Practice (e-journal) (2019) BASE Show details 8 Presuppositions in context Aravind, Athulya, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018 BASE Show details 9 Unsupervised learning of lexical subclasses from phonotactics Morita, Takashi, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018 BASE Show details 10 Unsupervised learning of disentangled representations for speech with neural variational inference models Hsu, Wei-Ning, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018 BASE Show details 11 Knowing and doing, well and good Jaques, Abby Everett, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018 BASE Show details 12 Ethics for artificial agents Gray, David Michael, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018 BASE Show details 13 Beliefs about grammar instruction among post-secondary second-language learners and teachers Lorenz, Alexander, Ph. D.. - 2018 BASE Show details 14 The effects of a text structure and paraphrasing intervention on the main idea generation and reading comprehension of struggling readers in grades 4 and 5 Stevens, Elizabeth Ann, Ph. D.. - 2018 BASE Show details 15 Literacies of surveillance : transfronterizo children translanguaging identity across borders, inspectors and surveillance Nuñez, Idalia, Ph. D.. - 2018 BASE Show details 16 Why belonging matters for college students’ academic engagement : antecedents and consequences of sense of classroom belonging Lee, Jeonghyun, Ph. D.. - 2018 BASE Show details 17 The morphosemantics and morphosyntax of the Malayalam verb Swenson, Amanda, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2017 BASE Show details 18 Transfer learning for low-resource natural language analysis Zhang, Yuan, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2017 Abstract: Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. ; This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. ; Cataloged from student-submitted PDF version of thesis. ; Includes bibliographical references (pages 131-142). ; Expressive machine learning models such as deep neural networks are highly effective when they can be trained with large amounts of in-domain labeled training data. While such annotations may not be readily available for the target task, it is often possible to find labeled data for another related task. The goal of this thesis is to develop novel transfer learning techniques that can effectively leverage annotations in source tasks to improve performance of the target low-resource task. In particular, we focus on two transfer learning scenarios: (1) transfer across languages and (2) transfer across tasks or domains in the same language. In multilingual transfer, we tackle challenges from two perspectives. First, we show that linguistic prior knowledge can be utilized to guide syntactic parsing with little human intervention, by using a hierarchical low-rank tensor method. In both unsupervised and semi-supervised transfer scenarios, this method consistently outperforms state-of-the-art multilingual transfer parsers and the traditional tensor model across more than ten languages. Second, we study lexical-level multilingual transfer in low-resource settings. We demonstrate that only a few (e.g., ten) word translation pairs suffice for an accurate transfer for part-of-speech (POS) tagging. Averaged across six languages, our approach achieves a 37.5% improvement over the monolingual top-performing method when using a comparable amount of supervision. In the second monolingual transfer scenario, we propose an aspect-augmented adversarial network that allows aspect transfer over the same domain. We use this method to transfer across different aspects in the same pathology reports, where traditional domain adaptation approaches commonly fail. Experimental results demonstrate that our approach outperforms different baselines and model variants, yielding a 24% gain on this pathology dataset. ; by Yuan Zhang. ; Ph. D. Keyword: Electrical Engineering and Computer Science URL: http://hdl.handle.net/1721.1/108847 BASE Hide details 19 An inflexible semantics for cross-categorial operators Hirsch, Aron, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2017 BASE Show details 20 Multi-modal and deep learning for robust speech recognition Feng, Xue, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2017 BASE Show details Page: 1 2 3 4 5...33

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