Jason Eisner
Johns Hopkins University(US)Johns Hopkins Medicine(US)
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Speech and dialogue systems, Algorithms and Data Compression, Machine Learning and Algorithms
Most-Cited Works
- → Three new probabilistic models for dependency parsing(1996)632 cited
- → Contrastive estimation(2005)320 cited
- → Learning How to Ask: Querying LMs with Mixtures of Soft Prompts(2021)315 cited
- Using ``Annotator Rationales'' to Improve Machine Learning for Text Categorization(2007)
- → The SIGMORPHON 2016 Shared Task—Morphological Reinflection(2016)255 cited
- → Learning non-isomorphic tree mappings for machine translation(2003)243 cited
- The neural hawkes process: a neurally self-modulating multivariate point process(2017)
- → Parameter estimation for probabilistic finite-state transducers(2001)167 cited