Faculty

Institution

Unit

Venue

Rebecca Hwa

Professor & Department Chair

George Washington University

Affiliations

Columbian College of Arts & Sciences

Department of Political Science

School of Engineering & Applied Science

Department of Computer Science

Rebecca Hwa is currently serving as a Columbian College Of Arts & Sciences Professor & Department Chair at George Washington University.

Honors

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Experiences

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Education

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Rebecca Hwa

George Washington University

Professor & Department Chair

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natural language processing machine learning linguistics computer science computational linguistics communication artificial intelligence computational intelligence data science machine intelligence machine translation syntactic parsing informatics natural language generation machine learning research language learning textual practice statistical parsers discourse analysis visualization semantic evaluation human-computer interaction composition studies knowledge discovery biomedical informatics general linguistics narrative shallow parsing supervised learning grammar induction language comprehension language corpus computational semantics sample selection statistical parsing sentence-level mt evaluation pseudo references argumentative writing ungrammatical sentences intelligent computing automated reasoning health information science semantic parsing intelligent processing comparative grammar response prediction error correction interactional linguistics annotation tool annotation service argumentation analysis part-of-speech tagging language localisation localization technique semi-supervised learning student learning narrative representation scene interpretation pragmatic analysis cognitive linguistics symbolic linguistic representation computational medicine support vector machines topic models user-generated content discourse structure conceptual analysis example selection labeled training examples parallel texts syntactic projection raw sentences practical co-training method arabic dialects spoken dialogue data statistical grammar induction ai architecture human-ai interaction ai education language

Notable Scholarly Works

Notable Federal Grants

Collaborators

Decoding Symbolism in Language Models. (2023)

Meiqi GuoRebecca HwaAdriana Kovashka

semanticslinguistics

How to Practice Vqa on a Resource-Limited Target Domain. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023)

Mingda ZhangRebecca HwaAdriana Kovashka

resource-limited target domaincomputer visioncomputer science

An Automated Writing Evaluation System for Supporting Self-Monitored Revising. Lecture notes in computer science (2022)

Diane LitmanTazin AfrinOmid KashefiChristopher OlshefskiAmanda GodleyRebecca Hwa

computing educationcomputer sciencemachine learningeducationself-monitored revisingwriting assessment

Argrewrite V.2: An Annotated Argumentative Revisions Corpus. Language Resources and Evaluation (2022)

Omid KashefiTazin AfrinMeghan DaleChristopher OlshefskiAmanda GodleyDiane LitmanRebecca Hwa

computational linguisticscorpus linguisticslinguisticsannotated argumentative revisionsnatural language processinginformation retrievallanguage corpus

Tribe or Not? Critical Inspection of Group Differences Using Tribalgram. ACM Transactions on Interactive Intelligent Systems (2022)

Yongsu AhnMuheng YanYu-Ru LinWen-Ting ChungRebecca Hwa

group differencescomputer scienceintelligent systemsartificial intelligencecritical inspection

BASISNET: Two-Stage Model Synthesis for Efficient Inference. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021)

Mingda ZhangChun-Te ChuAndrey ZhmoginovAndrew HowardBrendan JouYukun ZhuLi ZhangRebecca HwaAdriana Kovashka

two-stage model synthesisinferencecomputer sciencemachine learningmodel synthesisefficient inference

Center for Text Analytic Methods in Legal Studies. D-Scholarship@Pitt (University of Pittsburgh) (2021)

K AshleyD LitmanD HeR HwaJ Anderson

predictive analyticslawtext analytic methods

Detecting Persuasive Atypicality by Modeling Contextual Compatibility. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)

Meiqi GuoRebecca HwaAdriana Kovashka

persuasioncontextual compatibilitymachine learningbehavioral sciencespersuasive atypicalityimage analysiscomputer vision

Domain-Robust Vqa With Diverse Datasets and Methods but No Target Labels. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)

Mingda ZhangTristan MaidmentAhmad DiabAdriana KovashkaRebecca Hwa

target labelsdomain-robust vqamachine learningdata sciencesupport vector machinesdeep learningdiverse datasets

Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. International Conference on Human Factors in Computing Systems (2021)

Tazin AfrinOmid KashefiChristopher OlshefskiDiane LitmanRebecca HwaAmanda Godley

educationargumentative writingeffective interfaceseducational technologystudent-driven revision sessionsstudent learning

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Rebecca Hwa

Professor & Department Chair

George Washington University

Affiliations

Columbian College of Arts & Sciences

Department of Political Science

School of Engineering & Applied Science

Department of Computer Science

Rebecca Hwa is currently serving as a Columbian College Of Arts & Sciences Professor & Department Chair at George Washington University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Rebecca Hwa

George Washington University

Professor & Department Chair

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Decoding Symbolism in Language Models. (2023)

Meiqi GuoRebecca HwaAdriana Kovashka

semanticslinguistics

How to Practice Vqa on a Resource-Limited Target Domain. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023)

Mingda ZhangRebecca HwaAdriana Kovashka

resource-limited target domaincomputer visioncomputer science

An Automated Writing Evaluation System for Supporting Self-Monitored Revising. Lecture notes in computer science (2022)

Diane LitmanTazin AfrinOmid KashefiChristopher OlshefskiAmanda GodleyRebecca Hwa

computing educationcomputer sciencemachine learningeducationself-monitored revisingwriting assessment

Argrewrite V.2: An Annotated Argumentative Revisions Corpus. Language Resources and Evaluation (2022)

Omid KashefiTazin AfrinMeghan DaleChristopher OlshefskiAmanda GodleyDiane LitmanRebecca Hwa

computational linguisticscorpus linguisticslinguisticsannotated argumentative revisionsnatural language processinginformation retrievallanguage corpus

Tribe or Not? Critical Inspection of Group Differences Using Tribalgram. ACM Transactions on Interactive Intelligent Systems (2022)

Yongsu AhnMuheng YanYu-Ru LinWen-Ting ChungRebecca Hwa

group differencescomputer scienceintelligent systemsartificial intelligencecritical inspection

BASISNET: Two-Stage Model Synthesis for Efficient Inference. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021)

Mingda ZhangChun-Te ChuAndrey ZhmoginovAndrew HowardBrendan JouYukun ZhuLi ZhangRebecca HwaAdriana Kovashka

two-stage model synthesisinferencecomputer sciencemachine learningmodel synthesisefficient inference

Center for Text Analytic Methods in Legal Studies. D-Scholarship@Pitt (University of Pittsburgh) (2021)

K AshleyD LitmanD HeR HwaJ Anderson

predictive analyticslawtext analytic methods

Detecting Persuasive Atypicality by Modeling Contextual Compatibility. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)

Meiqi GuoRebecca HwaAdriana Kovashka

persuasioncontextual compatibilitymachine learningbehavioral sciencespersuasive atypicalityimage analysiscomputer vision

Domain-Robust Vqa With Diverse Datasets and Methods but No Target Labels. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)

Mingda ZhangTristan MaidmentAhmad DiabAdriana KovashkaRebecca Hwa

target labelsdomain-robust vqamachine learningdata sciencesupport vector machinesdeep learningdiverse datasets

Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. International Conference on Human Factors in Computing Systems (2021)

Tazin AfrinOmid KashefiChristopher OlshefskiDiane LitmanRebecca HwaAmanda Godley

educationargumentative writingeffective interfaceseducational technologystudent-driven revision sessionsstudent learning

1
2
3
4
5
8
10 / page

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language technologies

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