Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"University of Arizona" +contributor:("Surdeanu, Mihai"). Showing records 1 – 13 of 13 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Arizona

1. Gaska, Benjamin James. ParForPy: Loop Parallelism in Python .

Degree: 2017, University of Arizona

 Scientists are trending towards usage of high-level programming languages such as Python. The convenience of these languages often have a performance cost. As the amount… (more)

Subjects/Keywords: Parallelism; Programming Languages; Python

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gaska, B. J. (2017). ParForPy: Loop Parallelism in Python . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/625320

Chicago Manual of Style (16th Edition):

Gaska, Benjamin James. “ParForPy: Loop Parallelism in Python .” 2017. Masters Thesis, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/625320.

MLA Handbook (7th Edition):

Gaska, Benjamin James. “ParForPy: Loop Parallelism in Python .” 2017. Web. 06 Aug 2020.

Vancouver:

Gaska BJ. ParForPy: Loop Parallelism in Python . [Internet] [Masters thesis]. University of Arizona; 2017. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/625320.

Council of Science Editors:

Gaska BJ. ParForPy: Loop Parallelism in Python . [Masters Thesis]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/625320


University of Arizona

2. Hahn-Powell, Gus. Machine Reading for Scientific Discovery .

Degree: 2018, University of Arizona

 The aim of this work is to accelerate scientific discovery by advancing machine reading approaches designed to extract claims and assertions made in the literature,… (more)

Subjects/Keywords: assembly; causal ordering; hypothesis generation; literature-based discovery; machine reading; Swanson linking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hahn-Powell, G. (2018). Machine Reading for Scientific Discovery . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/630562

Chicago Manual of Style (16th Edition):

Hahn-Powell, Gus. “Machine Reading for Scientific Discovery .” 2018. Doctoral Dissertation, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/630562.

MLA Handbook (7th Edition):

Hahn-Powell, Gus. “Machine Reading for Scientific Discovery .” 2018. Web. 06 Aug 2020.

Vancouver:

Hahn-Powell G. Machine Reading for Scientific Discovery . [Internet] [Doctoral dissertation]. University of Arizona; 2018. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/630562.

Council of Science Editors:

Hahn-Powell G. Machine Reading for Scientific Discovery . [Doctoral Dissertation]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/630562


University of Arizona

3. Lakshmi Narayan, Pooja. Exploration of Noise Strategies in Semi-Supervised Named Entity Classification .

Degree: 2019, University of Arizona

 Noise is inherent in real world datasets and modeling noise is critical during training, as it is effective in regularization. Recently, novel semi-supervised deep learning… (more)

Subjects/Keywords: artificial intlligence; data augmentation; machine learning; named entity classification; Natural language processing; semi supervised learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lakshmi Narayan, P. (2019). Exploration of Noise Strategies in Semi-Supervised Named Entity Classification . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/634302

Chicago Manual of Style (16th Edition):

Lakshmi Narayan, Pooja. “Exploration of Noise Strategies in Semi-Supervised Named Entity Classification .” 2019. Masters Thesis, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/634302.

MLA Handbook (7th Edition):

Lakshmi Narayan, Pooja. “Exploration of Noise Strategies in Semi-Supervised Named Entity Classification .” 2019. Web. 06 Aug 2020.

Vancouver:

Lakshmi Narayan P. Exploration of Noise Strategies in Semi-Supervised Named Entity Classification . [Internet] [Masters thesis]. University of Arizona; 2019. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/634302.

Council of Science Editors:

Lakshmi Narayan P. Exploration of Noise Strategies in Semi-Supervised Named Entity Classification . [Masters Thesis]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/634302


University of Arizona

4. Tran, Anh Xuan. Identifying Latent Attributes from Video Scenes Using Knowledge Acquired From Large Collections of Text Documents .

Degree: 2014, University of Arizona

 Peter Drucker, a well-known influential writer and philosopher in the field of management theory and practice, once claimed that “the most important thing in communication… (more)

Subjects/Keywords: computer vision; information extraction; information retrieval; mental state inference; natural language processing; Computer Science; artificial intelligence

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tran, A. X. (2014). Identifying Latent Attributes from Video Scenes Using Knowledge Acquired From Large Collections of Text Documents . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/332735

Chicago Manual of Style (16th Edition):

Tran, Anh Xuan. “Identifying Latent Attributes from Video Scenes Using Knowledge Acquired From Large Collections of Text Documents .” 2014. Doctoral Dissertation, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/332735.

MLA Handbook (7th Edition):

Tran, Anh Xuan. “Identifying Latent Attributes from Video Scenes Using Knowledge Acquired From Large Collections of Text Documents .” 2014. Web. 06 Aug 2020.

Vancouver:

Tran AX. Identifying Latent Attributes from Video Scenes Using Knowledge Acquired From Large Collections of Text Documents . [Internet] [Doctoral dissertation]. University of Arizona; 2014. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/332735.

Council of Science Editors:

Tran AX. Identifying Latent Attributes from Video Scenes Using Knowledge Acquired From Large Collections of Text Documents . [Doctoral Dissertation]. University of Arizona; 2014. Available from: http://hdl.handle.net/10150/332735


University of Arizona

5. Hein, Paul Douglas. Assembling Executable Scientific Models from Source Code and Free Text .

Degree: 2019, University of Arizona

 Modern science is increasingly driven by the use of computational models of complex systems implemented in software. This provides enormous opportunities, including increased precision in… (more)

Subjects/Keywords: Dataflow Programming; Model Assembly; Model Extraction; Program Translation; Scientific Modeling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hein, P. D. (2019). Assembling Executable Scientific Models from Source Code and Free Text . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/634301

Chicago Manual of Style (16th Edition):

Hein, Paul Douglas. “Assembling Executable Scientific Models from Source Code and Free Text .” 2019. Masters Thesis, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/634301.

MLA Handbook (7th Edition):

Hein, Paul Douglas. “Assembling Executable Scientific Models from Source Code and Free Text .” 2019. Web. 06 Aug 2020.

Vancouver:

Hein PD. Assembling Executable Scientific Models from Source Code and Free Text . [Internet] [Masters thesis]. University of Arizona; 2019. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/634301.

Council of Science Editors:

Hein PD. Assembling Executable Scientific Models from Source Code and Free Text . [Masters Thesis]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/634301


University of Arizona

6. Sadeque, Farig Yousuf. User Behavior in Social Media: Engagement, Incivility and Depression .

Degree: 2019, University of Arizona

 User behavior in online social media has been a much researched topic in various fields– and although some aspects of user behavior like political orientation… (more)

Subjects/Keywords: Depression; Engagement; Incivility; Machine Learning; Natural Language Processing; Social Media

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sadeque, F. Y. (2019). User Behavior in Social Media: Engagement, Incivility and Depression . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/633192

Chicago Manual of Style (16th Edition):

Sadeque, Farig Yousuf. “User Behavior in Social Media: Engagement, Incivility and Depression .” 2019. Doctoral Dissertation, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/633192.

MLA Handbook (7th Edition):

Sadeque, Farig Yousuf. “User Behavior in Social Media: Engagement, Incivility and Depression .” 2019. Web. 06 Aug 2020.

Vancouver:

Sadeque FY. User Behavior in Social Media: Engagement, Incivility and Depression . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/633192.

Council of Science Editors:

Sadeque FY. User Behavior in Social Media: Engagement, Incivility and Depression . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/633192


University of Arizona

7. Kharitonova, Yekaterina. Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System .

Degree: 2016, University of Arizona

 Presentation slides are now a de facto standard in most classroom lectures, business meetings, and conference talks. Until recently, electronic presentation materials have been disjointed… (more)

Subjects/Keywords: Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kharitonova, Y. (2016). Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/612447

Chicago Manual of Style (16th Edition):

Kharitonova, Yekaterina. “Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System .” 2016. Doctoral Dissertation, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/612447.

MLA Handbook (7th Edition):

Kharitonova, Yekaterina. “Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System .” 2016. Web. 06 Aug 2020.

Vancouver:

Kharitonova Y. Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/612447.

Council of Science Editors:

Kharitonova Y. Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/612447


University of Arizona

8. Huangfu, Luwen. Beyond Sentiment Polarity: Cognitive Theory-Based Emotion Type Analysis of Social Media Text for Business Applications .

Degree: 2019, University of Arizona

 The emotion types expressed in social media have a strong influence over the perspectives and judgments of readers and their decision making in commercial activities.… (more)

Subjects/Keywords: business applications; cognitive theory of emotions; emotion type analysis; interpretability; theory-based framework

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huangfu, L. (2019). Beyond Sentiment Polarity: Cognitive Theory-Based Emotion Type Analysis of Social Media Text for Business Applications . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/634214

Chicago Manual of Style (16th Edition):

Huangfu, Luwen. “Beyond Sentiment Polarity: Cognitive Theory-Based Emotion Type Analysis of Social Media Text for Business Applications .” 2019. Doctoral Dissertation, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/634214.

MLA Handbook (7th Edition):

Huangfu, Luwen. “Beyond Sentiment Polarity: Cognitive Theory-Based Emotion Type Analysis of Social Media Text for Business Applications .” 2019. Web. 06 Aug 2020.

Vancouver:

Huangfu L. Beyond Sentiment Polarity: Cognitive Theory-Based Emotion Type Analysis of Social Media Text for Business Applications . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/634214.

Council of Science Editors:

Huangfu L. Beyond Sentiment Polarity: Cognitive Theory-Based Emotion Type Analysis of Social Media Text for Business Applications . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/634214


University of Arizona

9. Meyer, Josh. Multi-Task and Transfer Learning in Low-Resource Speech Recognition .

Degree: 2019, University of Arizona

 This thesis investigates methods for Acoustic Modeling in Automatic Speech Recog- nition, assuming limited access to training data in the target domain. The Acoustic Models… (more)

Subjects/Keywords: Automatic Speech Recognition; Deep Neural Networks; Low-Resource Languages; Multi-Task Learning; Transfer Learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Meyer, J. (2019). Multi-Task and Transfer Learning in Low-Resource Speech Recognition . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/634249

Chicago Manual of Style (16th Edition):

Meyer, Josh. “Multi-Task and Transfer Learning in Low-Resource Speech Recognition .” 2019. Doctoral Dissertation, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/634249.

MLA Handbook (7th Edition):

Meyer, Josh. “Multi-Task and Transfer Learning in Low-Resource Speech Recognition .” 2019. Web. 06 Aug 2020.

Vancouver:

Meyer J. Multi-Task and Transfer Learning in Low-Resource Speech Recognition . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/634249.

Council of Science Editors:

Meyer J. Multi-Task and Transfer Learning in Low-Resource Speech Recognition . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/634249


University of Arizona

10. Wright, Jeremy Bryan. Simultaneously Acquiring the Syntax and Semantics of Spatial Referring Expressions .

Degree: 2014, University of Arizona

 To be useful for communication language must be grounded in perceptions of the world, but acquiring such grounded language is a challenging task that increases… (more)

Subjects/Keywords: NLP; semantics; Computer Science; grounded

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wright, J. B. (2014). Simultaneously Acquiring the Syntax and Semantics of Spatial Referring Expressions . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/332831

Chicago Manual of Style (16th Edition):

Wright, Jeremy Bryan. “Simultaneously Acquiring the Syntax and Semantics of Spatial Referring Expressions .” 2014. Doctoral Dissertation, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/332831.

MLA Handbook (7th Edition):

Wright, Jeremy Bryan. “Simultaneously Acquiring the Syntax and Semantics of Spatial Referring Expressions .” 2014. Web. 06 Aug 2020.

Vancouver:

Wright JB. Simultaneously Acquiring the Syntax and Semantics of Spatial Referring Expressions . [Internet] [Doctoral dissertation]. University of Arizona; 2014. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/332831.

Council of Science Editors:

Wright JB. Simultaneously Acquiring the Syntax and Semantics of Spatial Referring Expressions . [Doctoral Dissertation]. University of Arizona; 2014. Available from: http://hdl.handle.net/10150/332831

11. Valenzuela Escárcega, Marco Antonio. Interpretable Models for Information Extraction .

Degree: 2016, University of Arizona

 There is an abundance of information being generated constantly, most of it encoded as unstructured text. The information expressed this way, although publicly available, is… (more)

Subjects/Keywords: Computer Science; information extraction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Valenzuela Escárcega, M. A. (2016). Interpretable Models for Information Extraction . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/613348

Chicago Manual of Style (16th Edition):

Valenzuela Escárcega, Marco Antonio. “Interpretable Models for Information Extraction .” 2016. Doctoral Dissertation, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/613348.

MLA Handbook (7th Edition):

Valenzuela Escárcega, Marco Antonio. “Interpretable Models for Information Extraction .” 2016. Web. 06 Aug 2020.

Vancouver:

Valenzuela Escárcega MA. Interpretable Models for Information Extraction . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/613348.

Council of Science Editors:

Valenzuela Escárcega MA. Interpretable Models for Information Extraction . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/613348

12. Sharp, Rebecca. Computational Natural Language Inference: Robust and Interpretable Question Answering .

Degree: 2017, University of Arizona

 We address the challenging task of computational natural language inference, by which we mean bridging two or more natural language texts while also providing an… (more)

Subjects/Keywords: Inference; Machine Learning; Question Answering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sharp, R. (2017). Computational Natural Language Inference: Robust and Interpretable Question Answering . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/625661

Chicago Manual of Style (16th Edition):

Sharp, Rebecca. “Computational Natural Language Inference: Robust and Interpretable Question Answering .” 2017. Doctoral Dissertation, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/625661.

MLA Handbook (7th Edition):

Sharp, Rebecca. “Computational Natural Language Inference: Robust and Interpretable Question Answering .” 2017. Web. 06 Aug 2020.

Vancouver:

Sharp R. Computational Natural Language Inference: Robust and Interpretable Question Answering . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/625661.

Council of Science Editors:

Sharp R. Computational Natural Language Inference: Robust and Interpretable Question Answering . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/625661

13. Bell, Dane Edward. Detecting Preventable Disease Risk on Social Media .

Degree: 2018, University of Arizona

 The incidence of type 2 diabetes mellitus is rising in the United States and worldwide. Diabetes is a common, debilitating, and deadly disease that begins… (more)

Subjects/Keywords: machine learning; neural networks; social media; type 2 diabetes mellitus

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bell, D. E. (2018). Detecting Preventable Disease Risk on Social Media . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/628180

Chicago Manual of Style (16th Edition):

Bell, Dane Edward. “Detecting Preventable Disease Risk on Social Media .” 2018. Doctoral Dissertation, University of Arizona. Accessed August 06, 2020. http://hdl.handle.net/10150/628180.

MLA Handbook (7th Edition):

Bell, Dane Edward. “Detecting Preventable Disease Risk on Social Media .” 2018. Web. 06 Aug 2020.

Vancouver:

Bell DE. Detecting Preventable Disease Risk on Social Media . [Internet] [Doctoral dissertation]. University of Arizona; 2018. [cited 2020 Aug 06]. Available from: http://hdl.handle.net/10150/628180.

Council of Science Editors:

Bell DE. Detecting Preventable Disease Risk on Social Media . [Doctoral Dissertation]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/628180

.