Ian Tenney
Google (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Text Readability and Simplification, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → BERT Rediscovers the Classical NLP Pipeline(2019)1,255 cited
- → What do you learn from context? Probing for sentence structure in\n contextualized word representations(2019)362 cited
- → Gemma: Open Models Based on Gemini Research and Technology(2024)220 cited
- → The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models(2020)129 cited
- → Measuring and Reducing Gendered Correlations in Pre-trained Models(2020)106 cited
- → Probing What Different NLP Tasks Teach Machines about Function Word Comprehension(2019)95 cited
- → Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling(2019)90 cited
- → jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models(2020)64 cited