Michael Boratko
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Machine Learning and Data Classification, Advanced Graph Neural Networks, Text and Document Classification Technologies
Most-Cited Works
- → Modeling Fine-Grained Entity Types with Box Embeddings(2021)61 cited
- Smoothing the Geometry of Probabilistic Box Embeddings(2018)
- → Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning(2021)35 cited
- → Improving Local Identifiability in Probabilistic Box Embeddings(2020)22 cited
- → Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings(2022)13 cited
- → A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset(2018)13 cited
- → Gecko: Versatile Text Embeddings Distilled from Large Language Models(2024)9 cited
- Representing Joint Hierarchies with Box Embeddings(2020)
- → Box Embeddings: An open-source library for representation learning using geometric structures(2021)8 cited