CV

Research interests: natural language processing, computational social science, machine learning

Education

B.S. in Computer Science and Linguistics, University of Massachusetts Amherst, 2023

Cross-Dialect Social Media Dependency Parsing for Social Scientific Entity Attribute Analysis
- Chloe Eggleston and Brendan O’Connor.
- WNUT2022 (Long Paper), 2022.
A large-scale Twitter-based exploration of morphosyntactic geographic variation in African American English
- Tessa Masis, Chloe Eggleston, Anissa Neal, Lisa Green, and Brendan O’Connor.
- NWAV50 (Presentation), 2022.
Woolery: Extending Frame Semantics to Structured Documents
- Chloe Eggleston and Jeremy Abramson.
- IEEE Big Data Special Symposium (Short Paper), 2021.

Research Assistant — Statistical Social Language Analysis Lab
- September 2021 - Present
- Assisting Brendan O’Connor of UMass Amherst with computational sociolinguistics and natural language processing work concerned with using Twitter geolocational data and US Census information to measure sociolinguistic constructions as well as extraction and synthesis of beliefs espoused by communities on social networks such as Twitter
Research Assistant — Information Sciences Institute
- June 2021 - August 2021
- Assisted Jeremy Abramson, a professor at the University of Southern California’s Information Sciences Institute, with a project about Frame Semantic Parsing on semi-structured data such as JSON. Developed an annotator that employed alignments between WordNet and FrameNet, as well as a Frame Identification transformer model.
Research Assistant — Information Extraction and Synthesis Lab
- December 2020 - May 2021
- Assisted a postdoctoral researcher, Timothy O’Gorman, in IESL, a UMass research lab led by Andrew McCallum, with an Information Extraction project concerned with extracting experimental data from a corpus of Material Science Research.

Course Assistant — CS490A: Applied Natural Langauge Processing
- Fall 2022 UCA for CS490A taught by Laure Thompson.
- Fall 2021 UCA for CS490A taught by Brendan O’Connor and Laure Thompson.
Course Assistant — INFO490C: Introduction to Social and Cultural Analytics
- Spring 2022 UCA for INFO490C, taught by Laure Thompson.
Course Assistant — CS345: Practice and Applications of Data Management
- Spring 2021 UCA for CS345 taught by Jaime Davila.

2022-2023 UMass Rising Researcher
William F. Field Alumni Scholar for College of Computer and Information Sciences
UMass Nominee for the CRA Outstanding Undergraduate Research Award
Outstanding Undergraduate Course Assistant Award - CS490A: Applied NLP
National Merit Finalist
National AP Scholar

Presented “Cross-Dialect Social Media Dependency Parsing for Social Scientific Entity Attribute Analysis” at the Eighth Workshop on Noisy User-generated Text (collocated with COLING2022), October 16, 2022.
Presented “Woolery: Extending Frame Semantics to Structured Documents” at IEEE Big Data’s Special Symposium for NSF REU Research in Data Science, Systems, and Security, December 15, 2021.
Presented an abstract and poster of “Woolery: Extending Frame Semantics to Structured Documents” at the Seventh National Workshop for REU Research in Networking and Systems (collocated with IEEE MASS), October 7, 2021.

Club Officer — UMass ACM: Machine Learning Interest Group
- September 2019 - December 2020
- Helped organize the UMass ACM student chapter’s Machine Learning group, in which members review papers from recent conferences, present their research, and hold workshops with faculty and students about Deep Learning and Artificial Intelligence.

Commonsense Augmented Question Answering — CS646 Final Project
- Semester Research Project on integrating Commonsense Knowledge into zero-shot question answering for WikiQA, ANTIQUE, aNLI, CommonSenseQA 2, ProtoQA, CosmosQA, SocialIQa