Beliz Gunel
Beliz Gunel is a Research Scientist in Google Research. She currently focuses on using large language models for structured summarization. Her research interests lie broadly at the intersection of natural language processing, data-efficient machine learning, and representation learning. She earned her PhD from Stanford University (2022) where she worked on leveraging prior knowledge and structure for data-efficient machine learning.
Authored Publications
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Data-Efficient Information Extraction from Form-Like Documents
Document Intelligence Workshop @ KDD 2021
Glean: Structured Extractions from Templatic Documents
Proceedings of the VLDB Endowment (2021), pp. 997-1005
