Luke Zettlemoyer
University of Washington(US)University of Chicago(US)Seattle University(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Speech and dialogue systems, Text Readability and Simplification
Most-Cited Works
- → Deep Contextualized Word Representations(2018)1,788 cited
- → BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension(2020)1,222 cited
- → Multilingual Denoising Pre-training for Neural Machine Translation(2020)966 cited
- Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations(2011)
- → Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars(2012)791 cited
- → Summarizing Source Code using a Neural Attention Model(2016)715 cited
- → QuAC: Question Answering in Context(2018)693 cited