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Alyssa Hwang

I am an incoming PhD student in the Department of Computer and Information Science at the University of Pennsylvania. I am particularly interested in the intersections of Natural Language Processing, Linguistics, and Psychology, especially expanding NLU resources for nonstandard English. I am supported by the NSF Graduate Research Fellowship Program.

I earned my BS in Computer Science at Columbia University, where I conducted research and wrote an undergraduate thesis with Prof. Kathleen McKeown.

Github | CV | [email protected]

Publications and Presentations

Peer-Reviewed Conferences

Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang. “AMPERSAND: Argument Mining for PERSuAsive oNline Discussions.” Empirical Methods in Natural Language Processing 2019. 
PDF

Alyssa Hwang and Christopher Hidey. “Confirming the Non-compositionality of Idioms for Sentiment Analysis.” ACL Joint Workshop on Multiword Expressions and WordNet 2019.
PDF | Poster

Christopher Hidey, Elena Musi, Alyssa Hwang, Smaranda Muresan, and Kathy McKeown. “Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum.” EMNLP Workshop on Argument Mining 2017.
PDF | Data | Slides

Alyssa Hwang and Sara Chung. “A Novel Stimulus and Analysis System for Studying the Neural Mechanisms of Natural Language Processing in the Human Brain.” International Workshop on Natural Language Processing and Cognitive Science 2015.
PDF

Presentations

Alyssa Hwang. “Evaluation of Hate Speech Labeling in Gang-Related Tweets.” Harvard National Collegiate Research Experience 2019. Poster Presentation.
Poster

Alyssa Hwang. “Citation Spans of Hyperlinks in Change My View Posts.” Stanford Research Conference 2018. Poster Presentation.
Poster

Alyssa Hwang. “Citation Spans of Hyperlinks in Change My View Posts.” Stanford Research Conference 2018. Poster Presentation.
Abstract

Professional Experience

Software Engineering Intern

Google, Mountain View, CA
(Summer 2020) [remote]

Build hierarchical RNN model for dialogue act prediction with Tensorflow and BERT.






Teaching Assistant

Natural Language Processing
Taught by Michael Collins at Columbia University (Spring 2020)

Grade homework assignments, host weekly office hours, and adapt course for online learning during COVID-19 pandemic.



Teaching Assistant

Natural Language Processing
Taught by Kathleen McKeown at Columbia University
(Fall 2019)

Prepare homework assignments, grade exams and homework, manage participation credit, and host weekly office hours for class of 120 undergraduate and graduate students.

Software Engineering Intern

Google Inc., Mountain View, CA (Summer 2019)

Expand image results for events displayed on Search from one directly pulled from the markup to multiple queried from an external API.



Teaching Assistant

Natural Language Processing
Taught by Michael Collins at Columbia University
(Spring 2019)

Grade homework and exams, update skeleton code from Python2 to Python3, host weekly office hours for class of 154 undergraduate and graduate students.

Teaching Assistant

Introduction to Java and Web Development in Python at the Columbia University Summer Immersion Program (Summer 2018)

Design curriculum for introductory Java and Python for 20 high school students and teach "Git Better" workshop for advanced Git skills.

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