Abigail See
Research Scientist at Google DeepMind; first author of the pointer-generator summarization paper
- Research Scientist, Google DeepMind15
Abigail See is a Research Scientist at Google DeepMind, a role See's Stanford page lists since January 2022. See completed a PhD in computer science at Stanford in 2021, advised by Christopher Manning in the Natural Language Processing group, with research on neural text generation for open-ended tasks such as story generation and chitchat dialogue. See is first author of Get To The Point: Summarization with Pointer-Generator Networks and released its code under the Apache License 2.0. At Stanford, See was co-instructor and Head TA of CS224n, Natural Language Processing with Deep Learning, in 2018 and 2019, and led a redesign of its assignments.1234
Work
Pointer-generator networks for summarization (external site: github.com)Open-source code
First author, with Peter J. Liu and Christopher D. Manning, of the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks; the accompanying repository holds the code for the paper under the Apache License 2.0, with modifications copyrighted to See.234
Earlier roles
- PhD student in the Stanford NLP Group (graduated 2021); CS224n co-instructor and Head TA (2018–2019), Stanford University1
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