Gabriel Stanovsky
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Text Readability and Simplification, Semantic Web and Ontologies
Most-Cited Works
- → (2019)351 cited
- → Supervised Open Information Extraction(2018)275 cited
- → DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning\n Over Paragraphs(2019)178 cited
- → Creating a Large Benchmark for Open Information Extraction(2016)127 cited
- → Evaluating Question Answering Evaluation(2019)89 cited
- → State of What Art? A Call for Multi-Prompt LLM Evaluation(2024)77 cited
- → Open IE as an Intermediate Structure for Semantic Tasks(2015)66 cited
- → Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models(2017)63 cited
- → Getting More Out Of Syntax with PropS(2016)61 cited