Yejin Choi | |
---|---|
최예진 | |
Born | 1977 |
Alma mater |
Seoul National University (BS) Cornell University (PhD) |
Awards | MacArthur Fellow (2022) |
Scientific career | |
Institutions |
University of Washington Stony Brook University |
Thesis | Fine-grained opinion analysis : structure-aware approaches (2010) |
Korean name | |
Hangul | 최예진 |
Revised Romanization | Choe Yejin |
McCune–Reischauer | Ch'oe Yechin |
Website | Official website |
Yejin Choi ( Korean: 최예진; born 1977) [1] is Wissner-Slivka Chair of Computer Science at the University of Washington. Her research considers natural language processing and computer vision.
Choi is from South Korea. She attended Seoul National University. [2] After earning a bachelor's degree in Computer Science, Choi moved to the United States, where she joined Cornell University as a graduate student. There she worked with Claire Cardie on natural language processing. After earning her doctorate, Choi joined Stony Brook University as an Assistant Professor of Computer Science. [3] At Stony Brook University Choi developed a statistical technique to identify fake hotel reviews. [4]
In 2018 Choi joined the Allen Institute for AI. [5] Her research looks to endow computers with a statistical understanding of written language. [6] She became interested in neural networks and their application in artificial intelligence. She started to assemble a knowledge base that became known as the atlas of machine commonsense (ATOMIC). By the time she had finished the creation of ATOMIC, the language model generative Pre-trained Transformer 2 ( GPT-2) had been released. [7] ATOMIC does not make use of linguistic rules, but combines the representations of different languages within a neural network. [7]
In 2020, Choi was endowed with the Brett Helsel Professorship, which she held until her became Chair of Computer Science in 2023. [8] [9] She has since made use of Commonsense Transformers (COMET) with Good old fashioned artificial intelligence (GOFAI). The approach combines symbolic reasoning and neural networks. [7] She has developed computational models that can detect biases in language that work against people from underrepresented groups. [10] For example, one study demonstrated that female film characters are portrayed as less powerful than their male counterparts. [6]
In 2023, Choi became The Wissner-Slivka Chair of Computer Science. [9]