About
Hello! I am a graduate student in the Department of Computer Science and Engineering at University of California, San Diego, where I am advised by Taylor Berg-Kirkpatrick in the Berg Lab.
Previously, I received a research Master's degree at the Language Technologies Institute at Carnegie Mellon University, where I was advised by Graham Neubig in the NeuLab.
Prior to CMU, I received my Bachelor's degree at UC Irvine (zot zot!), where I was a member of the Computation of Language Laboratory (CoLaLab).
Research
My research focuses on natural language processing and machine learning, particularly digital humanities. Currently, I am interested in NLP for historical documents, such as early modern books and manuscript collections, which offer a wealth of information about human history, but can be challenging for modern, data-hungry neural NLP models. For instance, movable type printing press-era books and scribal manuscripts are subject to sources of variation not found in recently printed books or digitized internet text. By collaborating with humanities scholars in the Print and Probablity Project, we try to understand the complex data generating processes and develop novel NLP models with proper inductive biases for the digital humanities.
At CMU, I worked on machine translation with applications to assistive technology for simultaneous interpreters. A couple years earlier, I contributed to a project on multimodal analysis of Parkinson's disease at the Third Frederick Jelinek Memorial Workshop at JHU.
My research has been supported by an NSF Graduate Research Fellowship.
Publications
Please see my Google Scholar.
News
- [Sep 2024] Gave an invited talk at The British Library's 21st Century Curatorship Talk Series on my work on the interim ESTC search website.
- [Sep 2024] Presented our new paper Clustering Running Titles to Understand the Printing of Early Modern Books at ICDAR 2024 in Athens, Greece.
- [Aug 2024] Our team won first prize in the Persona and Influence category of NSIN's Cyber Innovators Challenge!
- [May 2024] New article from CMU Libraries featuring our work restoring the British Library's ESTC website!
- [Mar 2024] Completed my thesis proposal entitled "Computational Models of Early Modern Clandestine Printing".
- [Dec 2023] Gave an invited talk at National University of Singapore about an exciting new ongoing ML/security project (not yet published!) using LLMs for measuring/understanding digital fraud.
- [Dec 2023] Presented our EMNLP paper on temporal adaptation of LLM text classification models under changing label sets in Singapore.
- [Nov 2023] Launched a new search interface for the English Short Title Catalogue (ESTC) database to help those affected by the October cyberattack on the British Library.
- [Jun 2023] Super excited to have our note in Shakespeare Quarterly, in which we identify who printed Shakespeare's Fourth Folio using machine learning!
- [Apr 2023] Won best poster in Computer Science and Engineering at UCSD Jacobs School of Engineering's Annual Research Expo.
- [Mar 2023] Our work that used machine learning to identify the printers of Shakespeare's Fourth Folio is featured in the Hunt Library Gallery at CMU!
- [Feb 2023] Presented "Contrastive Attention Networks for Attribution of Early Modern Print" at AAAI 2023!
- [Sep 2022] Preprint on temporal adaptation for social media posted on arXiv.
- [Jul 2022] Poster presentation for paper "Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription" at NAACL Findings 2022.
- [Feb 2022] Presented my research on low-resource handwriting recognition for Islamicate manuscripts at OpenITI teleconference.
- [Jul 2021] Presented in the panel "Computational Bibliography: Techniques and Analyses" at The Association for Computers and the Humanities (ACH) 2021 with Christopher Warren and Max G'Sell (joint work with Kartik Goyal, Sam Lemley, and Taylor Berg-Kirkpatrick).
- [Jul 2021] Presented "Shakespeare, Print Networks, and the History of Clandestine Printing" with Christopher Warren at Networks 2021 (joint work with Kartik Goyal, Sam Lemley, Max G'Sell, and Taylor Berg-Kirkpatrick).
Teaching
- [Spring 2021] Teaching Assistant for CSE 291: Advanced Statistical NLP (Instructor: Taylor Berg-Kirkpatrick)
Contact
📧 nvogler [-at-] ucsd [-dot-] edu